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Wyświetlanie 1-20 z 1757
Tytuł:
PGRNIG: novel parallel gene regulatory network identification algorithm based on GPU.
Autorzy:
Yang B; School of Information Science and Engineering, Zaozhuang University, Zaozhuang 277160, China.
Bao W; School of Information and Electrical Engineering, Xuzhou University of Technology, Xuzhou 221018, China.
Chen B; Xuzhou First People's Hospital, Xuzhou 221000, China.
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Źródło:
Briefings in functional genomics [Brief Funct Genomics] 2022 Nov 17; Vol. 21 (6), pp. 441-454.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Gene Regulatory Networks*
Computational Biology*/methods
Algorithms ; Escherichia coli/genetics ; Saccharomyces cerevisiae/genetics
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
DGHNE: network enhancement-based method in identifying disease-causing genes through a heterogeneous biomedical network.
Autorzy:
He B; Academician Workstation, Changsha Medical University, Changsha 410219, China.; Hunan Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, Changsha Medical University, Changsha 410219, P. R. China.; School of pharmacy, Changsha Medical University, Changsha 410219, P. R. China.
Wang K; School of Mathematical Sciences, Ocean University of China, Qingdao 266100, China.
Xiang J; Academician Workstation, Changsha Medical University, Changsha 410219, China.
Bing P; Academician Workstation, Changsha Medical University, Changsha 410219, China.; Hunan Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, Changsha Medical University, Changsha 410219, P. R. China.; School of pharmacy, Changsha Medical University, Changsha 410219, P. R. China.
Tang M; School of Life Sciences, Jiangsu University, Zhenjiang 212001, Jiangsu, China.
Tian G; Geneis (Beijing) Co., Ltd., Beijing 100102, China.
Guo C; Center for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA.
Xu M; Broad institute of MIT and Harvard, 415 Main Street, Cambridge, MA 02142, USA.
Yang J; Academician Workstation, Changsha Medical University, Changsha 410219, China.; Hunan Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, Changsha Medical University, Changsha 410219, P. R. China.; School of pharmacy, Changsha Medical University, Changsha 410219, P. R. China.; Geneis (Beijing) Co., Ltd., Beijing 100102, China.
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Źródło:
Briefings in bioinformatics [Brief Bioinform] 2022 Nov 19; Vol. 23 (6).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Computational Biology*/methods
Gene Regulatory Networks*
Gene Ontology ; ROC Curve ; Phenotype ; Algorithms
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
NetTDP: permutation-based true discovery proportions for differential co-expression network analysis.
Autorzy:
Cai M; School of Mathematics and Statistics, Xi'an Jiaotong University, Xianning West, 710049, Shaanxi, China.
Vesely A; Department of Statistical Sciences, University of Padova, Italy.
Chen X; Department of Biomedical Data Sciences, Leiden University Medical Center, Postbus 9600, 2300 RC Leiden, The Netherlands.
Li L; School of Mathematics and Statistics, Xi'an Jiaotong University, Xianning West, 710049, Shaanxi, China.
Goeman JJ; Department of Biomedical Data Sciences, Leiden University Medical Center, Postbus 9600, 2300 RC Leiden, The Netherlands.
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Źródło:
Briefings in bioinformatics [Brief Bioinform] 2022 Nov 19; Vol. 23 (6).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Gene Regulatory Networks*
Computational Biology*/methods
Algorithms ; Computer Simulation
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
NSCGRN: a network structure control method for gene regulatory network inference.
Autorzy:
Liu W; Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, Xiangtan, 411105, China.; School of Computer Science, Xiangtan University, Xiangtan, 411105, China.
Sun X; Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, Xiangtan, 411105, China.; School of Computer Science, Xiangtan University, Xiangtan, 411105, China.
Yang L; Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, Xiangtan, 411105, China.
Li K; Artificial Intelligence Research Institute, China University of Mining and Technology, Xuzhou, 221116, China.
Yang Y; Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, Xiangtan, 411105, China.; School of Computer Science, Xiangtan University, Xiangtan, 411105, China.
Fu X; College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410000, China.
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Źródło:
Briefings in bioinformatics [Brief Bioinform] 2022 Sep 20; Vol. 23 (5).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Computational Biology*/methods
Gene Regulatory Networks*
Algorithms
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
MICFuzzy: A maximal information content based fuzzy approach for reconstructing genetic networks.
Autorzy:
Nakulugamuwa Gamage H; Health Innovation and Transformation Centre, Federation University, Churchill, Victoria, Australia.
Chetty M; Health Innovation and Transformation Centre, Federation University, Churchill, Victoria, Australia.
Lim S; Health Innovation and Transformation Centre, Federation University, Churchill, Victoria, Australia.
Hallinan J; BioThink, Queensland, Australia.
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Źródło:
PloS one [PLoS One] 2023 Jul 07; Vol. 18 (7), pp. e0288174. Date of Electronic Publication: 2023 Jul 07 (Print Publication: 2023).
Typ publikacji:
Journal Article
MeSH Terms:
Algorithms*
Computational Biology*/methods
Gene Regulatory Networks ; Systems Biology ; Genes, Regulator ; Models, Genetic
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Boosting single-cell gene regulatory network reconstruction via bulk-cell transcriptomic data.
Autorzy:
Shu H; Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing 100084, China.
Ding F; Department of Computer Science, Purdue University, IN 47907, United States.
Zhou J; Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, United States.; Bioinformatics Program, University of California, San Diego, La Jolla, CA 92093, United States.
Xue Y; Department of Computer Science, Purdue University, IN 47907, United States.
Zhao D; Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing 100084, China.
Zeng J; Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing 100084, China.
Ma J; Institute for Artificial Intelligence, Peking University, Beijing 100091, China.
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Źródło:
Briefings in bioinformatics [Brief Bioinform] 2022 Sep 20; Vol. 23 (5).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Computational Biology*/methods
Gene Regulatory Networks*
Algorithms ; Transcription Factors/genetics ; Transcriptome
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
MGEGFP: a multi-view graph embedding method for gene function prediction based on adaptive estimation with GCN.
Autorzy:
Li W; College of Artificial Intelligence, Nankai University, Tongyan Road, 300350, Tianjin, China.
Zhang H; College of Artificial Intelligence, Nankai University, Tongyan Road, 300350, Tianjin, China.
Li M; College of Artificial Intelligence, Nankai University, Tongyan Road, 300350, Tianjin, China.
Han M; College of Artificial Intelligence, Nankai University, Tongyan Road, 300350, Tianjin, China.
Yin Y; Department of Food Science and Technology, University of Nebraska - Lincoln, 1400 R Street, 68588, Nebraska, USA.
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Źródło:
Briefings in bioinformatics [Brief Bioinform] 2022 Sep 20; Vol. 23 (5).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Computational Biology*
Gene Regulatory Networks*
Humans ; Saccharomyces cerevisiae/genetics
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Discovering gene regulatory networks of multiple phenotypic groups using dynamic Bayesian networks.
Autorzy:
Suter P; Department of Biosystems Science and Engineering, ETH Zurich, Matternstrasse 26, 4058 Basel, Switzerland.; SIB Swiss Institute of Bioinformatics, Switzerland.
Kuipers J; Department of Biosystems Science and Engineering, ETH Zurich, Matternstrasse 26, 4058 Basel, Switzerland.; SIB Swiss Institute of Bioinformatics, Switzerland.
Beerenwinkel N; Department of Biosystems Science and Engineering, ETH Zurich, Matternstrasse 26, 4058 Basel, Switzerland.; SIB Swiss Institute of Bioinformatics, Switzerland.
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Źródło:
Briefings in bioinformatics [Brief Bioinform] 2022 Jul 18; Vol. 23 (4).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Computational Biology*/methods
Gene Regulatory Networks*
Algorithms ; Bayes Theorem ; Computer Simulation
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A robust gene expression signature for NASH in liver expression data.
Autorzy:
Hasin-Brumshtein Y; Inflammatix, Inc., 863 Mitten Rd, Suite 104, Burlingame, CA, 94010, USA.
Sakaram S; Inflammatix, Inc., 863 Mitten Rd, Suite 104, Burlingame, CA, 94010, USA.
Khatri P; Institute for Immunity, Transplantation and Infection, School of Medicine, Stanford University, Palo Alto, CA, 94305, USA.; Department of Medicine, Center for Biomedical Informatics Research, Stanford University, Stanford, CA, 94305, USA.
He YD; Inflammatix, Inc., 863 Mitten Rd, Suite 104, Burlingame, CA, 94010, USA. .
Sweeney TE; Inflammatix, Inc., 863 Mitten Rd, Suite 104, Burlingame, CA, 94010, USA. .
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Źródło:
Scientific reports [Sci Rep] 2022 Feb 16; Vol. 12 (1), pp. 2571. Date of Electronic Publication: 2022 Feb 16.
Typ publikacji:
Journal Article
MeSH Terms:
Gene Expression Profiling*
Gene Regulatory Networks*
Biomarkers/*analysis
Computational Biology/*methods
Liver Cirrhosis/*diagnosis
Non-alcoholic Fatty Liver Disease/*diagnosis
Case-Control Studies ; Diagnosis, Differential ; Humans ; Liver Cirrhosis/genetics ; Non-alcoholic Fatty Liver Disease/genetics
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
In silico recognition of a prognostic signature in basal-like breast cancer patients.
Autorzy:
Conte F; Institute for Systems Analysis and Computer Science 'Antonio Ruberti', National Research Council, Rome, Italy.
Sibilio P; Institute for Systems Analysis and Computer Science 'Antonio Ruberti', National Research Council, Rome, Italy.; Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy.
Grimaldi AM; IRCCS Synlab SDN S.p.A., Naples, Italy.
Salvatore M; IRCCS Synlab SDN S.p.A., Naples, Italy.
Paci P; Institute for Systems Analysis and Computer Science 'Antonio Ruberti', National Research Council, Rome, Italy.; Department of Computer, Control and Management Engineering, Sapienza University of Rome, Rome, Italy.
Incoronato M; IRCCS Synlab SDN S.p.A., Naples, Italy.
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Źródło:
PloS one [PLoS One] 2022 Feb 15; Vol. 17 (2), pp. e0264024. Date of Electronic Publication: 2022 Feb 15 (Print Publication: 2022).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Gene Regulatory Networks*
Biomarkers, Tumor/*genetics
Computational Biology/*methods
Triple Negative Breast Neoplasms/*genetics
DNA Copy Number Variations ; DNA Methylation ; Databases, Factual ; Epigenomics ; Female ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Genomics ; Humans ; Prognosis ; Survival Analysis
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Identification of the Relationship between Hub Genes and Immune Cell Infiltration in Vascular Endothelial Cells of Proliferative Diabetic Retinopathy Using Bioinformatics Methods.
Autorzy:
Huang J; Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Center of National Ocular Disease Clinical Research Center, Nanchang, 330006 Jiangxi, China.
Zhou Q; Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Center of National Ocular Disease Clinical Research Center, Nanchang, 330006 Jiangxi, China.
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Źródło:
Disease markers [Dis Markers] 2022 Feb 03; Vol. 2022, pp. 7231046. Date of Electronic Publication: 2022 Feb 03 (Print Publication: 2022).
Typ publikacji:
Journal Article
MeSH Terms:
B-Lymphocytes*
Computational Biology*
Endothelial Cells*
Gene Regulatory Networks*
T-Lymphocytes*
Diabetic Retinopathy/*genetics
Diabetic Retinopathy/*immunology
Diabetic Retinopathy/*pathology
Endothelium, Vascular/*cytology
Cell Proliferation ; Humans
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Graphlet eigencentralities capture novel central roles of genes in pathways.
Autorzy:
Windels SFL; Department of Computer Science, University College London, London, United Kingdom.; Barcelona Supercomputing Center (BSC), Barcelona, Spain.
Malod-Dognin N; Department of Computer Science, University College London, London, United Kingdom.; Barcelona Supercomputing Center (BSC), Barcelona, Spain.
Pržulj N; Department of Computer Science, University College London, London, United Kingdom.; Barcelona Supercomputing Center (BSC), Barcelona, Spain.; ICREA, Barcelona, Spain.
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Źródło:
PloS one [PLoS One] 2022 Jan 25; Vol. 17 (1), pp. e0261676. Date of Electronic Publication: 2022 Jan 25 (Print Publication: 2022).
Typ publikacji:
Journal Article
MeSH Terms:
Gene Regulatory Networks*
Computational Biology/*methods
Saccharomyces cerevisiae/*genetics
Algorithms ; Computer Graphics ; Humans ; Saccharomyces cerevisiae Proteins/genetics
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Comprehensive patient-level classification and quantification of driver events in TCGA PanCanAtlas cohorts.
Autorzy:
Vyatkin AD; Laboratory of Innovative Medicine, School of Biological and Medical Physics, Moscow Institute of Physics and Technology, Dolgoprudny, Russia.
Otnyukov DV; Laboratory of Innovative Medicine, School of Biological and Medical Physics, Moscow Institute of Physics and Technology, Dolgoprudny, Russia.
Leonov SV; Laboratory of Innovative Medicine, School of Biological and Medical Physics, Moscow Institute of Physics and Technology, Dolgoprudny, Russia.
Belikov AV; Laboratory of Innovative Medicine, School of Biological and Medical Physics, Moscow Institute of Physics and Technology, Dolgoprudny, Russia.
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Źródło:
PLoS genetics [PLoS Genet] 2022 Jan 14; Vol. 18 (1), pp. e1009996. Date of Electronic Publication: 2022 Jan 14 (Print Publication: 2022).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Gene Regulatory Networks*
Mutation*
Computational Biology/*methods
Neoplasms/*genetics
Adult ; Aged ; Aged, 80 and over ; Algorithms ; Biomarkers, Tumor/genetics ; Databases, Genetic ; Female ; Humans ; Male ; Middle Aged ; Precision Medicine ; Young Adult
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Developmental gene regulatory network connections predicted by machine learning from gene expression data alone.
Autorzy:
Zhang J; Department of Computer Science, Virginia Tech, Blacksburg, VA, United States of America.
Ibrahim F; Department of Computer Science, Virginia Tech, Blacksburg, VA, United States of America.
Najmulski E; Department of Biology, Canisius College, Buffalo, NY, United States of America.
Katholos G; Department of Biology, Canisius College, Buffalo, NY, United States of America.
Altarawy D; Department of Computer Science, Virginia Tech, Blacksburg, VA, United States of America.; Computer and Systems Engineering Department, Alexandria University, Alexandria, Egypt.
Heath LS; Department of Computer Science, Virginia Tech, Blacksburg, VA, United States of America.
Tulin SL; Department of Biology, Canisius College, Buffalo, NY, United States of America.
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Źródło:
PloS one [PLoS One] 2021 Dec 28; Vol. 16 (12), pp. e0261926. Date of Electronic Publication: 2021 Dec 28 (Print Publication: 2021).
Typ publikacji:
Journal Article
MeSH Terms:
Gene Expression Profiling*
Gene Expression Regulation, Developmental*
Gene Regulatory Networks*
Computational Biology/*methods
Strongylocentrotus purpuratus/*embryology
Strongylocentrotus purpuratus/*genetics
Algorithms ; Animals ; Biochemical Phenomena ; Chromatin Immunoprecipitation ; Female ; Machine Learning ; Male ; Sensitivity and Specificity ; Systems Biology ; Transcription Factors/genetics ; Transcriptome
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Meta-Analysis and Bioinformatics Detection of Susceptibility Genes in Diabetic Nephropathy.
Autorzy:
Tziastoudi M; Department of Nephrology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41500 Larisa, Greece.
Cholevas C; First Department of Ophthalmology, Faculty of Health Sciences, Aristotle University of Thessaloniki School of Medicine, AHEPA Hospital, 54636 Thessaloniki, Greece.
Theoharides TC; Department of Immunology, Tufts University School of Medicine, Boston, MA 02111, USA.
Stefanidis I; Department of Nephrology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41500 Larisa, Greece.
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Źródło:
International journal of molecular sciences [Int J Mol Sci] 2021 Dec 21; Vol. 23 (1). Date of Electronic Publication: 2021 Dec 21.
Typ publikacji:
Journal Article; Meta-Analysis
MeSH Terms:
Gene Regulatory Networks*
Computational Biology/*methods
Diabetes Mellitus, Type 1/*complications
Diabetes Mellitus, Type 2/*complications
Diabetic Nephropathies/*genetics
Diabetes Mellitus, Type 1/genetics ; Diabetes Mellitus, Type 2/genetics ; Diabetic Nephropathies/etiology ; Gene Expression Regulation ; Genetic Association Studies ; Genetic Predisposition to Disease ; Humans ; Molecular Sequence Annotation
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Crosstalk between Venous Thromboembolism and Periodontal Diseases: A Bioinformatics Analysis.
Autorzy:
He Z; Department of Cardiovascular Surgery, The Third Affiliated Hospital of Chongqing Medical University, Shuanghu Branch Road No. 1, Yubei District, Chongqing 401120, China.
Jiang Q; Department of Cardiovascular Surgery, The Third Affiliated Hospital of Chongqing Medical University, Shuanghu Branch Road No. 1, Yubei District, Chongqing 401120, China.
Li F; Department of Cardiovascular Surgery, The Third Affiliated Hospital of Chongqing Medical University, Shuanghu Branch Road No. 1, Yubei District, Chongqing 401120, China.
Chen M; Department of Cardiovascular Surgery, The Third Affiliated Hospital of Chongqing Medical University, Shuanghu Branch Road No. 1, Yubei District, Chongqing 401120, China.
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Źródło:
Disease markers [Dis Markers] 2021 Dec 10; Vol. 2021, pp. 1776567. Date of Electronic Publication: 2021 Dec 10 (Print Publication: 2021).
Typ publikacji:
Journal Article
MeSH Terms:
Computational Biology*
Gene Expression Regulation*
Gene Regulatory Networks*
Protein Interaction Maps*
Periodontal Diseases/*genetics
Venous Thromboembolism/*genetics
Biomarkers/metabolism ; Case-Control Studies ; Databases, Genetic ; Genetic Markers ; Humans ; Periodontal Diseases/complications ; Periodontal Diseases/immunology ; Periodontal Diseases/metabolism ; Venous Thromboembolism/complications ; Venous Thromboembolism/immunology ; Venous Thromboembolism/metabolism
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
Constructing gene regulatory networks using epigenetic data.
Autorzy:
Sonawane AR; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.; Harvard Medical School, Boston, MA, USA.; Center for Interdisciplinary Cardiovascular Sciences, Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA, USA.
DeMeo DL; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.; Harvard Medical School, Boston, MA, USA.
Quackenbush J; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.; Harvard Medical School, Boston, MA, USA.; Department of Biostatistics, Harvard Chan School of Public Health, Boston, MA, USA.
Glass K; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA. .; Harvard Medical School, Boston, MA, USA. .; Department of Biostatistics, Harvard Chan School of Public Health, Boston, MA, USA. .
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Źródło:
NPJ systems biology and applications [NPJ Syst Biol Appl] 2021 Dec 09; Vol. 7 (1), pp. 45. Date of Electronic Publication: 2021 Dec 09.
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
MeSH Terms:
Computational Biology*
Gene Regulatory Networks*/genetics
Chromatin Immunoprecipitation ; Epigenesis, Genetic/genetics ; Transcription Factors/genetics ; Transcription Factors/metabolism
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
Genes and regulatory mechanisms associated with experimentally-induced bovine respiratory disease identified using supervised machine learning methodology.
Autorzy:
Scott MA; Veterinary Education, Research, and Outreach Center, Texas A&M University and West Texas A&M University, Canyon, TX, USA. .
Woolums AR; Department of Pathobiology and Population Medicine, Mississippi State University, Mississippi State, MS, USA.
Swiderski CE; Department of Pathobiology and Population Medicine, Mississippi State University, Mississippi State, MS, USA.
Perkins AD; Department of Computer Science and Engineering, Mississippi State University, Mississippi State, MS, USA.
Nanduri B; Department of Comparative Biomedical Sciences, Mississippi State University, Mississippi State, MS, USA.
Pokaż więcej
Źródło:
Scientific reports [Sci Rep] 2021 Nov 25; Vol. 11 (1), pp. 22916. Date of Electronic Publication: 2021 Nov 25.
Typ publikacji:
Journal Article
MeSH Terms:
Computational Biology*
Gene Expression Profiling*
Gene Regulatory Networks*
RNA-Seq*
Supervised Machine Learning*
Transcriptome*
Bovine Respiratory Disease Complex/*genetics
Animals ; Bovine Respiratory Disease Complex/immunology ; Bovine Respiratory Disease Complex/microbiology ; Bovine Respiratory Disease Complex/virology ; Cattle ; Databases, Genetic ; Host-Pathogen Interactions ; Lung/immunology ; Lung/microbiology ; Lung/virology
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
Hypoglycemia, Vascular Disease and Cognitive Dysfunction in Diabetes: Insights from Text Mining-Based Reconstruction and Bioinformatics Analysis of the Gene Networks.
Autorzy:
Saik OV; Laboratory of Endocrinology, Research Institute of Clinical and Experimental Lymphology-Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (RICEL-Branch of ICG SB RAS), 630060 Novosibirsk, Russia.; Laboratory of Computer Proteomics, Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), 630090 Novosibirsk, Russia.
Klimontov VV; Laboratory of Endocrinology, Research Institute of Clinical and Experimental Lymphology-Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (RICEL-Branch of ICG SB RAS), 630060 Novosibirsk, Russia.
Pokaż więcej
Źródło:
International journal of molecular sciences [Int J Mol Sci] 2021 Nov 17; Vol. 22 (22). Date of Electronic Publication: 2021 Nov 17.
Typ publikacji:
Journal Article
MeSH Terms:
Gene Regulatory Networks*
Alzheimer Disease/*epidemiology
Alzheimer Disease/*genetics
Cognitive Dysfunction/*epidemiology
Cognitive Dysfunction/*genetics
Computational Biology/*methods
Data Mining/*methods
Diabetic Angiopathies/*epidemiology
Diabetic Angiopathies/*genetics
Hypoglycemia/*epidemiology
Hypoglycemia/*genetics
Comorbidity ; Databases, Genetic ; Humans ; Protein Interaction Maps/genetics ; Risk Factors ; Signal Transduction/genetics
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Characterization and comparison of gene-centered human interactomes.
Autorzy:
Mosca E; Institute of Biomedical Technologies, National Research Council, Segrate (Milan), 20090, Italy.
Bersanelli M; Humanitas University, Department of Biomedical Sciences, Pieve Emanuele (Milan), 20090, Italy.
Matteuzzi T; Department of Physics and Astronomy, University of Bologna, Bologna, 40127, Italy.
Di Nanni N; Institute of Biomedical Technologies, National Research Council, Segrate (Milan), 20090, Italy.
Castellani G; Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, 40127, Italy.
Milanesi L; Institute of Biomedical Technologies, National Research Council, Segrate (Milan), 20090, Italy.
Remondini D; Department of Physics and Astronomy, University of Bologna, Bologna, 40127, Italy.
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Źródło:
Briefings in bioinformatics [Brief Bioinform] 2021 Nov 05; Vol. 22 (6).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Gene Regulatory Networks*
Software*
Transcriptome*
Computational Biology/*methods
Gene Expression Profiling/*methods
Algorithms ; Databases, Genetic ; Gene Ontology ; Genetic Association Studies ; Genetic Predisposition to Disease ; Humans ; Protein Interaction Mapping/methods ; Protein Interaction Maps ; Reproducibility of Results ; Signal Transduction ; Web Browser
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Wyświetlanie 1-20 z 1757

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