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Tytuł:
Missing Wedge Completion via Unsupervised Learning with Coordinate Networks.
Autorzy:
Van Veen D; Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA.
Galaz-Montoya JG; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Shen L; Department of Electrical and Computer Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
Baldwin P; Department of Biochemistry and Molecular Pharmacology, Baylor College of Medicine, Houston, TX 77030, USA.; Department of Genetics, The Salk Institute of Biological Sciences, La Jolla, CA 92037, USA.
Chaudhari AS; Department of Radiology, Stanford University, Stanford, CA 94305, USA.
Lyumkis D; Department of Genetics, The Salk Institute of Biological Sciences, La Jolla, CA 92037, USA.; Graduate School of Biological Sciences, University of California San Diego, La Jolla, CA 92037, USA.
Schmid MF; Division of CryoEM and Bioimaging, SSRL, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA.
Chiu W; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.; Division of CryoEM and Bioimaging, SSRL, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA.; Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Pauly J; Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA.
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Źródło:
International journal of molecular sciences [Int J Mol Sci] 2024 May 17; Vol. 25 (10). Date of Electronic Publication: 2024 May 17.
Typ publikacji:
Journal Article
MeSH Terms:
Unsupervised Machine Learning*
Neural Networks, Computer*
Image Processing, Computer-Assisted*/methods
Imaging, Three-Dimensional/methods ; Electron Microscope Tomography/methods ; Cryoelectron Microscopy/methods ; Algorithms ; Deep Learning
Czasopismo naukowe
Tytuł:
AI-based disease category prediction model using symptoms from low-resource Ethiopian language: Afaan Oromo text.
Autorzy:
Dinsa EF; Department of Computer Science and Engineering, Engineering and Technology, Wollega University, Oromia, Ethiopia. .; Department of Data Science, Indian Institute of Technology Palakkad (IIT Palakkad), Palakkad, India. .
Das M; Department of Data Science, Indian Institute of Technology Palakkad (IIT Palakkad), Palakkad, India.
Abebe TU; Department of Computer Science and Engineering, Adama Science and Technology University, Adama, Ethiopia.
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Źródło:
Scientific reports [Sci Rep] 2024 May 16; Vol. 14 (1), pp. 11233. Date of Electronic Publication: 2024 May 16.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Humans ; Ethiopia ; Support Vector Machine ; Language ; Algorithms ; Machine Learning ; Bayes Theorem ; Artificial Intelligence
Czasopismo naukowe
Tytuł:
Machine learning models for abstract screening task - A systematic literature review application for health economics and outcome research.
Autorzy:
Du J; Intelligent Medical Objects, Houston, TX, USA.
Soysal E; Intelligent Medical Objects, Houston, TX, USA.; McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA.
Wang D; Merck & Co., Inc, Rahway, NJ, USA.
He L; Intelligent Medical Objects, Houston, TX, USA.
Lin B; Intelligent Medical Objects, Houston, TX, USA.
Wang J; Intelligent Medical Objects, Houston, TX, USA.
Manion FJ; Intelligent Medical Objects, Houston, TX, USA.
Li Y; Merck & Co., Inc, Rahway, NJ, USA.
Wu E; Merck & Co., Inc, Rahway, NJ, USA.
Yao L; Merck & Co., Inc, Rahway, NJ, USA. .
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Źródło:
BMC medical research methodology [BMC Med Res Methodol] 2024 May 09; Vol. 24 (1), pp. 108. Date of Electronic Publication: 2024 May 09.
Typ publikacji:
Journal Article; Systematic Review; Research Support, Non-U.S. Gov't
MeSH Terms:
Machine Learning*
Papillomavirus Infections*/diagnosis
Humans ; Economics, Medical ; Algorithms ; Outcome Assessment, Health Care/methods ; Deep Learning ; Abstracting and Indexing/methods
Czasopismo naukowe
Tytuł:
Calibrating Deep Learning Classifiers for Patient-Independent Electroencephalogram Seizure Forecasting.
Autorzy:
Shafiezadeh S; Department of General Psychology, University of Padova, 35131 Padova, Italy.
Duma GM; Epilepsy and Clinical Neurophysiology Unit, Scientific Institute, IRCCS E. Medea, 31015 Conegliano, Italy.
Mento G; Department of General Psychology, University of Padova, 35131 Padova, Italy.; Padova Neuroscience Center, University of Padova, 35131 Padova, Italy.
Danieli A; Epilepsy and Clinical Neurophysiology Unit, Scientific Institute, IRCCS E. Medea, 31015 Conegliano, Italy.
Antoniazzi L; Epilepsy and Clinical Neurophysiology Unit, Scientific Institute, IRCCS E. Medea, 31015 Conegliano, Italy.
Del Popolo Cristaldi F; Department of General Psychology, University of Padova, 35131 Padova, Italy.
Bonanni P; Epilepsy and Clinical Neurophysiology Unit, Scientific Institute, IRCCS E. Medea, 31015 Conegliano, Italy.
Testolin A; Department of General Psychology, University of Padova, 35131 Padova, Italy.; Department of Mathematics, University of Padova, 35131 Padova, Italy.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Apr 30; Vol. 24 (9). Date of Electronic Publication: 2024 Apr 30.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Electroencephalography*/methods
Seizures*/diagnosis
Seizures*/physiopathology
Algorithms*
Humans ; Calibration ; Signal Processing, Computer-Assisted ; Epilepsy/diagnosis ; Epilepsy/physiopathology ; Machine Learning
Czasopismo naukowe
Tytuł:
Does lifelong learning matter for the subjective wellbeing of the elderly? A machine learning analysis on Singapore data.
Autorzy:
Fang Z; Graduate Studies, Singapore University of Social Sciences, Singapore, Singapore.
Sim N; School of Business, Singapore University of Social Sciences, Singapore, Singapore.
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Źródło:
PloS one [PLoS One] 2024 Jun 05; Vol. 19 (6), pp. e0303478. Date of Electronic Publication: 2024 Jun 05 (Print Publication: 2024).
Typ publikacji:
Journal Article
MeSH Terms:
Quality of Life*
Machine Learning*
Personal Satisfaction*
Humans ; Singapore ; Aged ; Female ; Male ; Aged, 80 and over ; Learning ; Surveys and Questionnaires
Czasopismo naukowe
Tytuł:
Beyond active learning: Using 3-Dimensional learning to create scientifically authentic, student-centered classrooms.
Autorzy:
Cooper MM; Department of Chemistry, Michigan State University, East Lansing, Michigan, United States of America.
Caballero MD; Department of Physics & Astronomy, Michigan State University, East Lansing, Michigan, United States of America.; Department of Computational Science, Mathematics and Engineering, Michigan State University, East Lansing, Michigan, United States of America.; Department of Physics and Center for Computing in Science Education, University of Oslo, Oslo, Norway.
Carmel JH; Department of Chemistry & Biochemistry and STEM Transformation Institute, Florida International University, Miami, Florida, United States of America.
Duffy EM; Science Department, Solebury School, New Hope, Pennsylvania, United States of America.
Ebert-May D; Department of Plant Biology, Michigan State University, East Lansing, Michigan, United States of America.
Fata-Hartley CL; Human Biology Program, Michigan State University, East Lansing, Michigan, United States of America.
Herrington DG; Department of Chemistry, Grand Valley State University, Allendale, Michigan, United States of America.
Laverty JT; Department of Physics, Kansas State University, Manhattan, Kansas, United States of America.
Nelson PC; Human Biology Program, Michigan State University, East Lansing, Michigan, United States of America.
Posey LA; Department of Chemistry, Michigan State University, East Lansing, Michigan, United States of America.
Stoltzfus JR; Department of Biochemistry and Molecular Biology, East Lansing, Michigan, United States of America.
Stowe RL; Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Sweeder RD; Lyman Briggs College, Michigan State University, East Lansing, Michigan, United States of America.
Tessmer S; Department of Physics & Astronomy, Michigan State University, East Lansing, Michigan, United States of America.
Underwood SM; Department of Chemistry & Biochemistry and STEM Transformation Institute, Florida International University, Miami, Florida, United States of America.
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Źródło:
PloS one [PLoS One] 2024 May 31; Vol. 19 (5), pp. e0295887. Date of Electronic Publication: 2024 May 31 (Print Publication: 2024).
Typ publikacji:
Journal Article
MeSH Terms:
Students*
Problem-Based Learning*/methods
Humans ; Science/education ; Learning ; Curriculum
Czasopismo naukowe
Tytuł:
A model for skin cancer using combination of ensemble learning and deep learning.
Autorzy:
Hosseinzadeh M; Institute of Research and Development, Duy Tan University, Da Nang, Vietnam.; School of Medicine and Pharmacy, Duy Tan University, Da Nang, Vietnam.
Hussain D; Department of AI and Data Science, Sejong University, Seoul, Republic of Korea.
Zeki Mahmood FM; Department of Communication and Computer Engineering, Cihan University-Erbil, Kurdistan Region, Iraq.
A Alenizi F; Electrical Engineering Department, College of engineering, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.
Varzeghani AN; Department of Computer Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
Asghari P; Department of Computer Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
Darwesh A; Department of Information Technology, University of Human Development, Sulaymaniyah, Kurdistan region of Iraq.
Malik MH; School of Computer Science and Creative Technologies College of Arts, Technology and Environment (CATE) University of the West of England Frenchay Campus, Coldharbour Lane Bristol, Bristol, United Kingdom.
Lee SW; Pattern Recognition and Machine Learning Lab, Gachon University, Seongnamdaero, Sujeonggu, Seongnam, Republic of Korea.
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Źródło:
PloS one [PLoS One] 2024 May 31; Vol. 19 (5), pp. e0301275. Date of Electronic Publication: 2024 May 31 (Print Publication: 2024).
Typ publikacji:
Journal Article
MeSH Terms:
Skin Neoplasms*/pathology
Deep Learning*
Humans ; Machine Learning ; Algorithms
Czasopismo naukowe
Tytuł:
Leveraging conformal prediction to annotate enzyme function space with limited false positives.
Autorzy:
Ding K; School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
Luo J; School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
Luo Y; School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
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Źródło:
PLoS computational biology [PLoS Comput Biol] 2024 May 29; Vol. 20 (5), pp. e1012135. Date of Electronic Publication: 2024 May 29 (Print Publication: 2024).
Typ publikacji:
Journal Article
MeSH Terms:
Enzymes*/metabolism
Enzymes*/chemistry
Computational Biology*/methods
Machine Learning*
False Positive Reactions ; Deep Learning ; Humans
Czasopismo naukowe
Tytuł:
A multimodal Transformer Network for protein-small molecule interactions enhances predictions of kinase inhibition and enzyme-substrate relationships.
Autorzy:
Kroll A; Institute for Computer Science and Department of Biology, Heinrich Heine University, Düsseldorf, Germany.
Ranjan S; Department of Computer Science and Engineering, Indian Institute of Technology Bombay, Powai, Mumbai, India.
Lercher MJ; Institute for Computer Science and Department of Biology, Heinrich Heine University, Düsseldorf, Germany.
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Źródło:
PLoS computational biology [PLoS Comput Biol] 2024 May 20; Vol. 20 (5), pp. e1012100. Date of Electronic Publication: 2024 May 20 (Print Publication: 2024).
Typ publikacji:
Journal Article
MeSH Terms:
Computational Biology*
Machine Learning*
Protein Kinase Inhibitors/pharmacology ; Protein Kinase Inhibitors/chemistry ; Substrate Specificity ; Small Molecule Libraries/chemistry ; Small Molecule Libraries/pharmacology ; Proteins/metabolism ; Proteins/chemistry ; Amino Acid Sequence ; Deep Learning ; Protein Binding ; Protein Kinases/metabolism ; Protein Kinases/chemistry ; Humans
Czasopismo naukowe
Tytuł:
A machine learning approach to detect potentially harmful and protective suicide-related content in broadcast media.
Autorzy:
Metzler H; Section for Science of Complex Systems, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria.; Unit Public Mental Health Research, Department of Social and Preventive Medicine, Center for Public Health, Medical University of Vienna, Vienna, Austria.; Complexity Science Hub, Vienna, Austria.; Institute for Globally Distributed Open Research and Education, Austria.
Baginski H; Complexity Science Hub, Vienna, Austria.; Institute of Information Systems Engineering, Vienna University of Technology, Vienna, Austria.
Garcia D; Section for Science of Complex Systems, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria.; Complexity Science Hub, Vienna, Austria.; Department of Politics and Public Administration, University of Konstanz, Konstanz, Germany.; Institute of Interactive Systems and Data Science, Department of Computer Science and Biomedical Engineering, Graz University of Technology, Graz, Austria.
Niederkrotenthaler T; Unit Public Mental Health Research, Department of Social and Preventive Medicine, Center for Public Health, Medical University of Vienna, Vienna, Austria.; Wiener Werkstaette for Suicide Research, Vienna, Austria.
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Źródło:
PloS one [PLoS One] 2024 May 14; Vol. 19 (5), pp. e0300917. Date of Electronic Publication: 2024 May 14 (Print Publication: 2024).
Typ publikacji:
Journal Article
MeSH Terms:
Machine Learning*
Mass Media*
Humans ; Suicide ; Suicide Prevention ; Oregon ; Washington ; Deep Learning
Czasopismo naukowe
Tytuł:
Automated machine learning model for fundus image classification by health-care professionals with no coding experience.
Autorzy:
Zago Ribeiro L; Department of Ophthalmology and Visual Sciences, Federal University of São Paulo, São Paulo, SP, Brazil. .
Nakayama LF; Department of Ophthalmology and Visual Sciences, Federal University of São Paulo, São Paulo, SP, Brazil.; Massachusetts Institute of Technology, Institute for Medical Engineering and Science, Cambridge, MA, USA.
Malerbi FK; Department of Ophthalmology and Visual Sciences, Federal University of São Paulo, São Paulo, SP, Brazil.
Regatieri CVS; Department of Ophthalmology and Visual Sciences, Federal University of São Paulo, São Paulo, SP, Brazil.
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Źródło:
Scientific reports [Sci Rep] 2024 May 06; Vol. 14 (1), pp. 10395. Date of Electronic Publication: 2024 May 06.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Fundus Oculi*
Diabetic Retinopathy*/diagnostic imaging
Machine Learning*
Humans ; Female ; Male ; Deep Learning ; Middle Aged ; Adult ; Health Personnel ; Macular Edema/diagnostic imaging ; Image Processing, Computer-Assisted/methods ; Aged
Czasopismo naukowe
Tytuł:
UNNT: A novel Utility for comparing Neural Net and Tree-based models.
Autorzy:
Gutta V; Department of Computer & Information Sciences, University of Delaware, Newark, Delaware, United States of America.
Ganakammal SR; Cancer Science Data Initiatives, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America.
Jones S; Cancer Science Data Initiatives, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America.
Beyers M; Cancer Science Data Initiatives, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America.
Chandrasekaran S; Department of Computer & Information Sciences, University of Delaware, Newark, Delaware, United States of America.
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Źródło:
PLoS computational biology [PLoS Comput Biol] 2024 Apr 29; Vol. 20 (4), pp. e1011504. Date of Electronic Publication: 2024 Apr 29 (Print Publication: 2024).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't; Comparative Study; Research Support, N.I.H., Extramural
MeSH Terms:
Neural Networks, Computer*
Deep Learning*
Computational Biology*/methods
Neoplasms*
Humans ; Algorithms ; Antineoplastic Agents/pharmacology ; Machine Learning ; Software
Czasopismo naukowe
Tytuł:
Analysis of learning curves in predictive modeling using exponential curve fitting with an asymptotic approach.
Autorzy:
Vianna LS; Graduate Program in Knowledge Engineering, Management, and Media, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil.
Gonçalves AL; Graduate Program in Knowledge Engineering, Management, and Media, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil.
Souza JA; Graduate Program in Knowledge Engineering, Management, and Media, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil.
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Źródło:
PloS one [PLoS One] 2024 Apr 18; Vol. 19 (4), pp. e0299811. Date of Electronic Publication: 2024 Apr 18 (Print Publication: 2024).
Typ publikacji:
Journal Article
MeSH Terms:
Learning Curve*
COVID-19*/epidemiology
Humans ; Retrospective Studies ; Forecasting ; Machine Learning
Czasopismo naukowe
Tytuł:
Deep self-supervised machine learning algorithms with a novel feature elimination and selection approaches for blood test-based multi-dimensional health risks classification.
Autorzy:
Tutsoy O; Adana Alparslan Turkes Science and Technology University, Adana, Turkey. .
Koç GG; Adana Alparslan Turkes Science and Technology University, Adana, Turkey.
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Źródło:
BMC bioinformatics [BMC Bioinformatics] 2024 Mar 08; Vol. 25 (1), pp. 103. Date of Electronic Publication: 2024 Mar 08.
Typ publikacji:
Journal Article
MeSH Terms:
Algorithms*
Machine Learning*
Supervised Machine Learning
Czasopismo naukowe
Tytuł:
Kinome-Wide Virtual Screening by Multi-Task Deep Learning.
Autorzy:
Hu J; Dr. John T. Macdonald Foundation Department of Human Genetics and John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.; Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.
Allen BK; Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.; Institute for Data Science & Computing, University of Miami, Miami, FL 33136, USA.
Stathias V; Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.
Ayad NG; Center for Therapeutic Innovation Miller School of Medicine, University of Miami, Miami, FL 33136, USA.; Miami Project to Cure Paralysis, Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.; Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.
Schürer SC; Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.; Institute for Data Science & Computing, University of Miami, Miami, FL 33136, USA.; Center for Therapeutic Innovation Miller School of Medicine, University of Miami, Miami, FL 33136, USA.; Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.
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Źródło:
International journal of molecular sciences [Int J Mol Sci] 2024 Feb 22; Vol. 25 (5). Date of Electronic Publication: 2024 Feb 22.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Humans ; Phosphotransferases ; Drug Discovery/methods ; Polypharmacology ; Machine Learning
Czasopismo naukowe
Tytuł:
A Comparison Study of Deep Learning Methodologies for Music Emotion Recognition.
Autorzy:
Louro PL; CISUC, LASI, DEI, FCTUC, University of Coimbra, 3030-790 Coimbra, Portugal.
Redinho H; CISUC, LASI, DEI, FCTUC, University of Coimbra, 3030-790 Coimbra, Portugal.
Malheiro R; CISUC, LASI, DEI, FCTUC, University of Coimbra, 3030-790 Coimbra, Portugal.; School of Technology and Management, Polytechnic Institute of Leiria, 2411-901 Leiria, Portugal.
Paiva RP; CISUC, LASI, DEI, FCTUC, University of Coimbra, 3030-790 Coimbra, Portugal.
Panda R; CISUC, LASI, DEI, FCTUC, University of Coimbra, 3030-790 Coimbra, Portugal.; Ci2-Smart Cities Research Center, Polytechnic Institute of Tomar, 2300-313 Tomar, Portugal.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Mar 29; Vol. 24 (7). Date of Electronic Publication: 2024 Mar 29.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Music*
Data Accuracy ; Emotions ; Machine Learning
Czasopismo naukowe
Tytuł:
Employing deep learning and transfer learning for accurate brain tumor detection.
Autorzy:
Mathivanan SK; School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, India.
Sonaimuthu S; Department of Computer Science and Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, 600062, India.
Murugesan S; Department of Computer Science and Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, 600062, India.
Rajadurai H; School of Computing Science and Engineering, VIT Bhopal University, Bhopal-Indore Highway Kothrikalan, Sehore, 466114, India.
Shivahare BD; School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, India.
Shah MA; Kebri Dehar University, 250, Kebri Dehar, Somali, Ethiopia. .; Centre of Research Impact and Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, 140401, India. .; Division of Research and Development, Lovely Professional University, Phagwara, Punjab, 144001, India. .
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Źródło:
Scientific reports [Sci Rep] 2024 Mar 27; Vol. 14 (1), pp. 7232. Date of Electronic Publication: 2024 Mar 27.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Brain Neoplasms*/diagnostic imaging
Meningeal Neoplasms*
Humans ; Artificial Intelligence ; Brain/diagnostic imaging ; Machine Learning
Czasopismo naukowe
Tytuł:
Color-CADx: a deep learning approach for colorectal cancer classification through triple convolutional neural networks and discrete cosine transform.
Autorzy:
Sharkas M; Electronics and Communications Engineering Department, College of Engineering and Technology, Arab Academy for Science, Technology, and Maritime Transport, Alexandria, Egypt.
Attallah O; Electronics and Communications Engineering Department, College of Engineering and Technology, Arab Academy for Science, Technology, and Maritime Transport, Alexandria, Egypt. .; Wearables, Biosensing, and Biosignal Processing Laboratory, Arab Academy for Science, Technology and Maritime Transport, Alexandria, 21937, Egypt. .
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Źródło:
Scientific reports [Sci Rep] 2024 Mar 22; Vol. 14 (1), pp. 6914. Date of Electronic Publication: 2024 Mar 22.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Colorectal Neoplasms*/diagnosis
Humans ; Neural Networks, Computer ; Machine Learning ; Algorithms
Czasopismo naukowe
Tytuł:
Iterative pseudo balancing for stem cell microscopy image classification.
Autorzy:
Witmer A; Department of Bioengineering, University of California, Riverside, CA, 92521, USA. .
Bhanu B; Department of Bioengineering, University of California, Riverside, CA, 92521, USA.; Department of Electrical and Computer Engineering, University of California, Riverside, CA, 92521, USA.
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Źródło:
Scientific reports [Sci Rep] 2024 Feb 24; Vol. 14 (1), pp. 4489. Date of Electronic Publication: 2024 Feb 24.
Typ publikacji:
Journal Article
MeSH Terms:
Microscopy*
Learning*
Humans ; Neural Networks, Computer ; Product Labeling ; Stem Cells ; Image Processing, Computer-Assisted ; Supervised Machine Learning
Czasopismo naukowe
Tytuł:
DiCleave: a deep learning model for predicting human Dicer cleavage sites.
Autorzy:
Mu L; Bioinformatics Center, Institute for Chemical Research, Kyoto University, Kyoto, 611-0011, Japan.
Song J; Monash Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC, 3800, Australia.
Akutsu T; Bioinformatics Center, Institute for Chemical Research, Kyoto University, Kyoto, 611-0011, Japan.
Mori T; Bioinformatics Center, Institute for Chemical Research, Kyoto University, Kyoto, 611-0011, Japan. .
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Źródło:
BMC bioinformatics [BMC Bioinformatics] 2024 Jan 09; Vol. 25 (1), pp. 13. Date of Electronic Publication: 2024 Jan 09.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
MicroRNAs*
Humans ; Benchmarking ; Machine Learning ; Nucleotides
Czasopismo naukowe

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