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Olivier Gevaert

Showing results (1-10 of 180) with videos related to

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British Journal of Cancer|March 30, 2021
Meta-learning reduces the amount of data needed to build AI models in oncologyOlivier Gevaert
Bioinformatics (Oxford, England)|January 23, 2015
MethylMix: an R package for identifying DNA methylation-driven genesOlivier Gevaert
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 21, 2013
Identifying master regulators of cancer and their downstream targets by integrating genomic and epigenomic featuresOlivier Gevaert, Sylvia Plevritis
Bioinformatics (Oxford, England)|September 13, 2019
Deep learning with multimodal representation for pancancer prognosis predictionAnika Cheerla, Olivier Gevaert
BMC Bioinformatics|January 15, 2017
MicroRNA based Pan-Cancer Diagnosis and Treatment RecommendationNikhil Cheerla, Olivier Gevaert
Genome Medicine|March 11, 2016
CoINcIDE: A framework for discovery of patient subtypes across multiple datasetsCatherine R Planey, Olivier Gevaert
Expert Opinion on Medical Diagnostics|March 15, 2013
Prediction of cancer outcome using DNA microarray technology: past, present and futureOlivier Gevaert, Bart De Moor
Bioinformatics (Oxford, England)|July 10, 2019
Comparison of single and module-based methods for modeling gene regulatory networksMikel Hernaez, Charles Blatti, Olivier Gevaert
IEEE Journal of Biomedical and Health Informatics|July 25, 2022
Reliably Filter Drug-Induced Liver Injury Literature With Natural Language Processing and Conformal PredictionXianghao Zhan, Fanjin Wang, Olivier Gevaert
Journal of Biomedical Informatics|June 20, 2017
Predicting biomedical metadata in CEDAR: A study of Gene Expression Omnibus (GEO)Maryam Panahiazar, Michel Dumontier, Olivier Gevaert
Pageof 18

Showing results (1-10 of 180) with videos related to

Sort By:
Pageof 18
British Journal of Cancer|March 30, 2021
Meta-learning reduces the amount of data needed to build AI models in oncologyOlivier Gevaert
Bioinformatics (Oxford, England)|January 23, 2015
MethylMix: an R package for identifying DNA methylation-driven genesOlivier Gevaert
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 21, 2013
Identifying master regulators of cancer and their downstream targets by integrating genomic and epigenomic featuresOlivier Gevaert, Sylvia Plevritis
Bioinformatics (Oxford, England)|September 13, 2019
Deep learning with multimodal representation for pancancer prognosis predictionAnika Cheerla, Olivier Gevaert
BMC Bioinformatics|January 15, 2017
MicroRNA based Pan-Cancer Diagnosis and Treatment RecommendationNikhil Cheerla, Olivier Gevaert
Genome Medicine|March 11, 2016
CoINcIDE: A framework for discovery of patient subtypes across multiple datasetsCatherine R Planey, Olivier Gevaert
Expert Opinion on Medical Diagnostics|March 15, 2013
Prediction of cancer outcome using DNA microarray technology: past, present and futureOlivier Gevaert, Bart De Moor
Bioinformatics (Oxford, England)|July 10, 2019
Comparison of single and module-based methods for modeling gene regulatory networksMikel Hernaez, Charles Blatti, Olivier Gevaert
IEEE Journal of Biomedical and Health Informatics|July 25, 2022
Reliably Filter Drug-Induced Liver Injury Literature With Natural Language Processing and Conformal PredictionXianghao Zhan, Fanjin Wang, Olivier Gevaert
Journal of Biomedical Informatics|June 20, 2017
Predicting biomedical metadata in CEDAR: A study of Gene Expression Omnibus (GEO)Maryam Panahiazar, Michel Dumontier, Olivier Gevaert
Pageof 18