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Martin Ester

Showing results (21-30 of 34) with videos related to

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Plos One|November 5, 2010
Module discovery by exhaustive search for densely connected, co-expressed regions in biomolecular interaction networksRecep Colak, Flavia Moser, Jeffrey Shih-Chieh Chu, et al.
Molecules (Basel, Switzerland)|August 26, 2022
Ligand Binding Prediction Using Protein Structure Graphs and Residual Graph Attention NetworksMohit Pandey, Mariia Radaeva, Hazem Mslati, et al.
Bioinformatics (Oxford, England)|February 16, 2019
SUBSTRA: Supervised Bayesian Patient StratificationSahand Khakabimamaghani, Yogeshwar D Kelkar, Bruno M Grande, et al.
Frontiers in Aging Neuroscience|September 6, 2021
Moderate-Intensity Physical Activity, Music and Art Activities Preserved Cognitive Health in Older Adults: An Argument for Social Prescribing SolutionAli Arab, Gregory J Christie, Mehrdad Mansouri, et al.
Chemical Science|June 8, 2026
Deep docking, part 2: an amplified DDU platform for ultra-large virtual screeningMohit Pandey, Tanvir Sajed, Ivan Semenov, et al.
Bioinformatics (Oxford, England)|February 23, 2024
Phenotype prediction from single-cell RNA-seq data using attention-based neural networksYuzhen Mao, Yen-Yi Lin, Nelson K Y Wong, et al.
Genomics|August 16, 2005
Assessment and integration of publicly available SAGE, cDNA microarray, and oligonucleotide microarray expression data for global coexpression analysesObi L Griffith, Erin D Pleasance, Debra L Fulton, et al.
Scientific Reports|November 10, 2020
A fast and fully-automated deep-learning approach for accurate hemorrhage segmentation and volume quantification in non-contrast whole-head CTAli Arab, Betty Chinda, George Medvedev, et al.
BMJ Open|April 21, 2018
Automation of CT-based haemorrhagic stroke assessment for improved clinical outcomes: study protocol and designBetty Chinda, George Medvedev, William Siu, et al.
Briefings in Bioinformatics|August 12, 2021
Drug sensitivity prediction from cell line-based pharmacogenomics data: guidelines for developing machine learning modelsHossein Sharifi-Noghabi, Soheil Jahangiri-Tazehkand, Petr Smirnov, et al.
Pageof 4

Showing results (21-30 of 34) with videos related to

Sort By:
Pageof 4
Plos One|November 5, 2010
Module discovery by exhaustive search for densely connected, co-expressed regions in biomolecular interaction networksRecep Colak, Flavia Moser, Jeffrey Shih-Chieh Chu, et al.
Molecules (Basel, Switzerland)|August 26, 2022
Ligand Binding Prediction Using Protein Structure Graphs and Residual Graph Attention NetworksMohit Pandey, Mariia Radaeva, Hazem Mslati, et al.
Bioinformatics (Oxford, England)|February 16, 2019
SUBSTRA: Supervised Bayesian Patient StratificationSahand Khakabimamaghani, Yogeshwar D Kelkar, Bruno M Grande, et al.
Frontiers in Aging Neuroscience|September 6, 2021
Moderate-Intensity Physical Activity, Music and Art Activities Preserved Cognitive Health in Older Adults: An Argument for Social Prescribing SolutionAli Arab, Gregory J Christie, Mehrdad Mansouri, et al.
Chemical Science|June 8, 2026
Deep docking, part 2: an amplified DDU platform for ultra-large virtual screeningMohit Pandey, Tanvir Sajed, Ivan Semenov, et al.
Bioinformatics (Oxford, England)|February 23, 2024
Phenotype prediction from single-cell RNA-seq data using attention-based neural networksYuzhen Mao, Yen-Yi Lin, Nelson K Y Wong, et al.
Genomics|August 16, 2005
Assessment and integration of publicly available SAGE, cDNA microarray, and oligonucleotide microarray expression data for global coexpression analysesObi L Griffith, Erin D Pleasance, Debra L Fulton, et al.
Scientific Reports|November 10, 2020
A fast and fully-automated deep-learning approach for accurate hemorrhage segmentation and volume quantification in non-contrast whole-head CTAli Arab, Betty Chinda, George Medvedev, et al.
BMJ Open|April 21, 2018
Automation of CT-based haemorrhagic stroke assessment for improved clinical outcomes: study protocol and designBetty Chinda, George Medvedev, William Siu, et al.
Briefings in Bioinformatics|August 12, 2021
Drug sensitivity prediction from cell line-based pharmacogenomics data: guidelines for developing machine learning modelsHossein Sharifi-Noghabi, Soheil Jahangiri-Tazehkand, Petr Smirnov, et al.
Pageof 4