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Wyświetlanie 1-20 z 3201
Tytuł:
Identifying spatial domain by adapting transcriptomics with histology through contrastive learning.
Autorzy:
Zeng Y; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510000, China.
Yin R; Key Laboratory of Machine Intelligence and Advanced Computing (MOE), Guangzhou 510000, China.
Luo M; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510000, China.
Chen J; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510000, China.
Pan Z; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510000, China.
Lu Y; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510000, China.
Yu W; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510000, China.
Yang Y; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510000, China.; Department of Computer Science, The University of Hong Kong, Hong Kong SAR, China.
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Źródło:
Briefings in bioinformatics [Brief Bioinform] 2023 Mar 19; Vol. 24 (2).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Transcriptome*
Learning*
Gene Expression Profiling ; Cluster Analysis ; Data Analysis
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
AD-Syn-Net: systematic identification of Alzheimer's disease-associated mutation and co-mutation vulnerabilities via deep learning.
Autorzy:
Pan X; Livestrong Cancer Institutes, and Department of Oncology, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA.
Coban Akdemir ZH; Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Gao R; Departments of Chemistry and Biological Sciences, University of Illinois Chicago, Chicago, IL 60607, USA.
Jiang X; School of Biomedical Informatics, University of Texas Health Science Center, Houston, TX 77030, USA.
Sheynkman GM; Department of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA 22903, USA.; Department of Biochemistry and Molecular Genetics, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA.; Center for Public Health Genomics, and UVA Comprehensive Cancer Center, University of Virginia, Charlottesville, VA 22903, USA.
Wu E; Livestrong Cancer Institutes, and Department of Oncology, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA.; Neuroscience Institute and Department of Neurosurgery, Baylor Scott & White Health, Temple, TX 76502, USA.; Department of Surgery, Texas A & M University Health Science Center, College of Medicine, Temple, TX 76508, USA.; Department of Pharmaceutical Sciences, Texas A & M University Health Science Center, College of Pharmacy, College Station, TX 77843, USA.
Huang JH; Neuroscience Institute and Department of Neurosurgery, Baylor Scott & White Health, Temple, TX 76502, USA.; Department of Surgery, Texas A & M University Health Science Center, College of Medicine, Temple, TX 76508, USA.
Sahni N; Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA.; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.; Quantitative and Computational Biosciences Program, Baylor College of Medicine, Houston, TX 77030, USA.
Yi SS; Livestrong Cancer Institutes, and Department of Oncology, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA.; Oden Institute for Computational Engineering and Sciences (ICES), The University of Texas at Austin, Austin, TX 78712, USA.; Interdisciplinary Life Sciences Graduate Programs (ILSGP), College of Natural Sciences, The University of Texas at Austin, Austin, TX 78712, USA.; Department of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
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Źródło:
Briefings in bioinformatics [Brief Bioinform] 2023 Mar 19; Vol. 24 (2).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural
MeSH Terms:
Alzheimer Disease*/genetics
Deep Learning*
Cognitive Dysfunction*/genetics
Humans ; Magnetic Resonance Imaging ; Mutation
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Fast and automated protein-DNA/RNA macromolecular complex modeling from cryo-EM maps.
Autorzy:
Nakamura A; Division of Computing and Software Systems, University of Washington Bothell, Bothell, WA 98011, USA.
Meng H; Department of Computer Science, Duke University, Durham, NC 27708, USA.
Zhao M; Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL 60637, USA.
Wang F; Department of Biochemistry and Molecular Genetics, University of Alabama Birmingham, Heersink School of Medicine, Birmingham, AL 35233, USA.
Hou J; Department of Computer Science, Saint Louis University, Saint Louis, MO 63103, USA.
Cao R; Department of Computer Science, Pacific Lutheran University, Tacoma, WA 98447, USA.
Si D; Division of Computing and Software Systems, University of Washington Bothell, Bothell, WA 98011, USA.
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Źródło:
Briefings in bioinformatics [Brief Bioinform] 2023 Mar 19; Vol. 24 (2).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
RNA*
DNA*
Humans ; Cryoelectron Microscopy/methods ; Models, Molecular ; Protein Conformation ; Macromolecular Substances/chemistry
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Prediction of transcript structure and concentration using RNA-Seq data.
Autorzy:
Sharma H; Amity Institute of Integrative Sciences and Health, Amity University Haryana, Gurugram 122413, India.
Pani T; Amity Institute of Integrative Sciences and Health, Amity University Haryana, Gurugram 122413, India.
Dasgupta U; Amity Institute of Integrative Sciences and Health, Amity University Haryana, Gurugram 122413, India.
Batra J; School of Biomedical Sciences, Institute of Health and Biomedical Innovation (IHBI), Translational Research Institute, Queensland University of Technology (QUT), Brisbane, QLD, Australia.
Sharma RD; Amity Institute of Integrative Sciences and Health, Amity University Haryana, Gurugram 122413, India.
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Źródło:
Briefings in bioinformatics [Brief Bioinform] 2023 Mar 19; Vol. 24 (2).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Alternative Splicing*
Gene Expression Profiling*/methods
Humans ; RNA-Seq ; Genome ; Exons ; Sequence Analysis, RNA
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Denoising adaptive deep clustering with self-attention mechanism on single-cell sequencing data.
Autorzy:
Su Y; Key Lab of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, 230601, China.
Lin R; School of Computer Science and Technology, Anhui University, Hefei, 230601, China.
Wang J; School of Computer Science and Technology, Anhui University, Hefei, 230601, China.
Tan D; Institutes of Physical Science and Information Technology, Anhui University, Hefei, 230601, China.
Zheng C; Key Lab of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, 230601, China.
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Źródło:
Briefings in bioinformatics [Brief Bioinform] 2023 Mar 19; Vol. 24 (2).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Gene Expression Profiling*/methods
Single-Cell Analysis*/methods
Sequence Analysis, RNA/methods ; Cluster Analysis ; Algorithms
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Collaborative deep learning improves disease-related circRNA prediction based on multi-source functional information.
Autorzy:
Wang Y; School of Computer Science at Northwestern Polytechnical University, Xi'an, China.
Liu X; School of Computer Science at Northwestern Polytechnical University, Xi'an, China.
Shen Y; School of Computer Science at Northwestern Polytechnical University, Xi'an, China.
Song X; children's health prevention department of Xi'an Children's Hospital.
Wang T; School of Computer Science at Northwestern Polytechnical University, Xi'an, China.
Shang X; School of Computer Science at Northwestern Polytechnical University, Xi'an, China.
Peng J; School of Computer Science at Northwestern Polytechnical University, Xi'an, China.
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Źródło:
Briefings in bioinformatics [Brief Bioinform] 2023 Mar 19; Vol. 24 (2).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Deep Learning*
Interdisciplinary Placement*
Humans ; RNA, Circular/genetics ; Machine Learning ; Computational Biology/methods
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
MHTAN-DTI: Metapath-based hierarchical transformer and attention network for drug-target interaction prediction.
Autorzy:
Zhang R; Computer Network Information Center, Chinese Academy of Sciences, Beijing, 100083, China.; School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China.
Wang Z; Computer Network Information Center, Chinese Academy of Sciences, Beijing, 100083, China.; School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China.
Wang X; Computer Network Information Center, Chinese Academy of Sciences, Beijing, 100083, China.
Meng Z; Computer Network Information Center, Chinese Academy of Sciences, Beijing, 100083, China.
Cui W; Computer Network Information Center, Chinese Academy of Sciences, Beijing, 100083, China.
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Źródło:
Briefings in bioinformatics [Brief Bioinform] 2023 Mar 19; Vol. 24 (2).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Drug Development*
Drug Discovery*/methods
Computer Simulation ; Proteins/chemistry ; Learning
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
FungiExpresZ: an intuitive package for fungal gene expression data analysis, visualization and discovery.
Autorzy:
Parsania C; Faculty of Health Sciences, University of Macau, Macau SAR of China.
Chen R; Faculty of Health Sciences, University of Macau, Macau SAR of China.
Sethiya P; Faculty of Health Sciences, University of Macau, Macau SAR of China.
Miao Z; Faculty of Health Sciences, University of Macau, Macau SAR of China.
Dong L; Faculty of Health Sciences, University of Macau, Macau SAR of China.
Wong KH; Faculty of Health Sciences, University of Macau, Macau SAR of China.; Institute of Translational Medicine, University of Macau, Macau SAR of China.
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Źródło:
Briefings in bioinformatics [Brief Bioinform] 2023 Mar 19; Vol. 24 (2).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Software*
Genomics*
Humans ; Gene Expression Profiling ; Data Analysis ; RNA/genetics ; Gene Expression
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
DRdriver: identifying drug resistance driver genes using individual-specific gene regulatory network.
Autorzy:
Huang YE; Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Zhou S; Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Liu H; Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Zhou X; Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Yuan M; Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Hou F; Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Chen S; Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Chen J; Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Wang L; Department of Pathophysiology, School of Medicine, Southeast University, Nanjing 210009, China.
Jiang W; Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
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Źródło:
Briefings in bioinformatics [Brief Bioinform] 2023 Mar 19; Vol. 24 (2).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Gene Regulatory Networks*
Neoplasms*/drug therapy
Neoplasms*/genetics
Neoplasms*/pathology
Humans ; Mutation ; Oncogenes ; Drug Resistance
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Identification of significant gene expression changes in multiple perturbation experiments using knockoffs.
Autorzy:
Zhao T; Department of Information Systems and Analytics, College of Business, Bryant University, Smithfield, 02917, RI, USA.; Center for Health and Behavioral Sciences, Bryant University, Smithfield, 02917, RI, USA.
Zhu G; Department of Computer Science and Statistics, University of Rhode Island, Kingston, 02881, RI, USA.
Dubey HV; Department of Mathematics & Statistics, University of Massachusetts Amherst, Amherst, 01003, MA, USA.
Flaherty P; Department of Mathematics & Statistics, University of Massachusetts Amherst, Amherst, 01003, MA, USA.
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Źródło:
Briefings in bioinformatics [Brief Bioinform] 2023 Mar 19; Vol. 24 (2).
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.
MeSH Terms:
Gene Regulatory Networks*
Neural Networks, Computer*
Humans ; Gene Library ; Gene Expression
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
HBV-infected hepatocellular carcinoma can be robustly classified into three clinically relevant subgroups by a novel analytical protocol.
Autorzy:
Cheng Z; State Key Lab of Microbial Metabolism, Joint International Research Laboratory of Metabolic Developmental Sciences, Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University.; SJTU-Yale Joint Center of Biostatistics and Data Science, National Center for Translational Medicine, Shanghai Jiao Tong University.
Li L; State Key Lab of Microbial Metabolism, Joint International Research Laboratory of Metabolic Developmental Sciences, Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University.; SJTU-Yale Joint Center of Biostatistics and Data Science, National Center for Translational Medicine, Shanghai Jiao Tong University.
Zhang Y; State Key Lab of Microbial Metabolism, Joint International Research Laboratory of Metabolic Developmental Sciences, Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University.; SJTU-Yale Joint Center of Biostatistics and Data Science, National Center for Translational Medicine, Shanghai Jiao Tong University.
Ren Y; SJTU-Yale Joint Center of Biostatistics and Data Science, National Center for Translational Medicine, Shanghai Jiao Tong University.
Gu J; Department of Biostatistics, Yale University, New Haven, CT, United States.
Wang X; State Key Lab of Microbial Metabolism, Joint International Research Laboratory of Metabolic Developmental Sciences, Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University.; SJTU-Yale Joint Center of Biostatistics and Data Science, National Center for Translational Medicine, Shanghai Jiao Tong University.
Zhao H; Department of Biostatistics, Yale University, New Haven, CT, United States.
Lu H; State Key Lab of Microbial Metabolism, Joint International Research Laboratory of Metabolic Developmental Sciences, Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University.; SJTU-Yale Joint Center of Biostatistics and Data Science, National Center for Translational Medicine, Shanghai Jiao Tong University.; Department of General Surgery, Xinhua Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Źródło:
Briefings in bioinformatics [Brief Bioinform] 2023 Mar 19; Vol. 24 (2).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Carcinoma, Hepatocellular*/pathology
Liver Neoplasms*/pathology
Hepatitis B*/complications
Humans ; Hepatitis B virus/metabolism ; alpha-Fetoproteins/metabolism ; Tumor Microenvironment
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A review on longitudinal data analysis with random forest.
Autorzy:
Hu J; Institute of Medical Biometry and Statistics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany.
Szymczak S; Institute of Medical Biometry and Statistics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany.
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Źródło:
Briefings in bioinformatics [Brief Bioinform] 2023 Mar 19; Vol. 24 (2).
Typ publikacji:
Review; Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Random Forest*
Software*
Longitudinal Studies ; Data Analysis
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
PROSE: phenotype-specific network signatures from individual proteomic samples.
Autorzy:
Wong BJH; School of Biological Sciences, Nanyang Technological University, Singapore.
Kong W; School of Biological Sciences, Nanyang Technological University, Singapore.; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.; School of Computer Science, National University of Singapore, Singapore.
Peng H; School of Biological Sciences, Nanyang Technological University, Singapore.; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Goh WWB; School of Biological Sciences, Nanyang Technological University, Singapore.; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.; Center for Biomedical Informatics, Nanyang Technological University, Singapore.
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Źródło:
Briefings in bioinformatics [Brief Bioinform] 2023 Mar 19; Vol. 24 (2).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Proteomics*/methods
Proteome*/analysis
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Subtype-DCC: decoupled contrastive clustering method for cancer subtype identification based on multi-omics data.
Autorzy:
Zhao J; State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Zhao B; State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Song X; School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, 200240, China.
Lyu C; State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Chen W; State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Xiong Y; State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.; Shanghai Artificial Intelligence Laboratory, Shanghai, 200232, China.
Wei DQ; State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.; Peng Cheng Laboratory, Vanke Cloud City Phase I Building 8, Xili Street, Nanshan District, Shenzhen, Guangdong, 518055, China.; Zhongjing Research and Industrialization Institute of Chinese Medicine, Zhongguancun Scientific Park, Meixi, Nayang, Henan, 473006, China.
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Źródło:
Briefings in bioinformatics [Brief Bioinform] 2023 Mar 19; Vol. 24 (2).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Multiomics*
Neoplasms*/genetics
Humans ; Algorithms ; Genomics/methods ; Cluster Analysis ; DCC Receptor
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Comparison of long- and short-read metagenomic assembly for low-abundance species and resistance genes.
Autorzy:
Yorki S; Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Shea T; Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Cuomo CA; Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Walker BJ; Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.; Applied Invention, LLC, Cambridge, MA, USA.
LaRocque RC; Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
Manson AL; Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Earl AM; Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Worby CJ; Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Pokaż więcej
Źródło:
Briefings in bioinformatics [Brief Bioinform] 2023 Mar 19; Vol. 24 (2).
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, P.H.S.
MeSH Terms:
Metagenome*
Microbiota*/genetics
Sequence Analysis, DNA/methods ; Escherichia coli/genetics ; Metagenomics/methods ; High-Throughput Nucleotide Sequencing/methods
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
miWords: transformer-based composite deep learning for highly accurate discovery of pre-miRNA regions across plant genomes.
Autorzy:
Gupta S; Studio of Computational Biology & Bioinformatics, The Himalayan Centre for High-throughput Computational Biology, (HiCHiCoB, A BIC supported by DBT, India), CSIR-Institute of Himalayan Bioresource Technology (CSIR-IHBT), Palampur, Himachal Pradesh 176061, India.; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh 201002, India.
Shankar R; Studio of Computational Biology & Bioinformatics, The Himalayan Centre for High-throughput Computational Biology, (HiCHiCoB, A BIC supported by DBT, India), CSIR-Institute of Himalayan Bioresource Technology (CSIR-IHBT), Palampur, Himachal Pradesh 176061, India.; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh 201002, India.
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Źródło:
Briefings in bioinformatics [Brief Bioinform] 2023 Mar 19; Vol. 24 (2).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
MicroRNAs*/genetics
MicroRNAs*/chemistry
Deep Learning*
Arabidopsis*/genetics
Animals ; Software ; Genomics ; Genome, Plant
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Integrative analysis of multi-omics and imaging data with incorporation of biological information via structural Bayesian factor analysis.
Autorzy:
Bao J; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, 19104, PA, USA.
Chang C; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, 19104, PA, USA.
Zhang Q; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, 19104, PA, USA.
Saykin AJ; Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, 46202, IN, USA.
Shen L; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, 19104, PA, USA.
Long Q; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, 19104, PA, USA.
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Corporate Authors:
Alzheimer’s Disease Neuroimaging Initiative
Źródło:
Briefings in bioinformatics [Brief Bioinform] 2023 Mar 19; Vol. 24 (2).
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural
MeSH Terms:
Multiomics*
Neuroimaging*/methods
Bayes Theorem ; Brain/diagnostic imaging ; Phenotype
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A comprehensive review of bioinformatics tools for chromatin loop calling.
Autorzy:
Liu L; Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou 324003, China.
Han K; Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.
Sun H; School of Physical Science and Technology, Inner Mongolia University, Hohhot 010021, China.
Han L; School of Physical Science and Technology, Inner Mongolia University, Hohhot 010021, China.
Gao D; Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.
Xi Q; State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, College of Life Sciences, Inner Mongolia University, Hohhot 010070, China.
Zhang L; School of Physical Science and Technology, Inner Mongolia University, Hohhot 010021, China.
Lin H; Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.
Pokaż więcej
Źródło:
Briefings in bioinformatics [Brief Bioinform] 2023 Mar 19; Vol. 24 (2).
Typ publikacji:
Review; Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Computational Biology*/methods
Chromatin*/genetics
Chromosomes ; Algorithms ; Genome
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
IMperm: a fast and comprehensive IMmune Paired-End Reads Merger for sequencing data.
Autorzy:
Zhang W; Department of Computer Science, City University of Hong Kong, Hong Kong 999077, China.
Ju J; Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen 518132, China.
Zhou Y; Department of Computer Science, City University of Hong Kong, Hong Kong 999077, China.
Xiong T; Department of Computer Science, City University of Hong Kong, Hong Kong 999077, China.
Wang M; Department of Computer Science, City University of Hong Kong, Hong Kong 999077, China.
Li C; Department of Computer Science, City University of Hong Kong, Hong Kong 999077, China.
Lu S; NeoImmune Inc., Shenzhen 518055, China.
Lu Z; NeoImmune Inc., Shenzhen 518055, China.
Lin L; NeoImmune Inc., Shenzhen 518055, China.
Liu X; Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Li SC; Department of Computer Science, City University of Hong Kong, Hong Kong 999077, China.
Pokaż więcej
Źródło:
Briefings in bioinformatics [Brief Bioinform] 2023 Mar 19; Vol. 24 (2).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
High-Throughput Nucleotide Sequencing*
Genomics*
Humans ; Sequence Analysis, DNA ; Software ; Genome ; Algorithms
Czasopismo naukowe
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Wyświetlanie 1-20 z 3201

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