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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|
December 9, 2017
Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders
Gregory P Way, Casey S Greene
Annals of the New York Academy of Sciences
|
January 25, 2012
Accurate evaluation and analysis of functional genomics data and methods
Casey S Greene, Olga G Troyanskaya
Nucleic Acids Research
|
June 10, 2011
PILGRM: an interactive data-driven discovery platform for expert biologists
Casey S Greene, Olga G Troyanskaya
Nature Methods
|
December 4, 2018
Bayesian deep learning for single-cell analysis
Gregory P Way, Casey S Greene
Seminars in Nephrology
|
November 4, 2010
Integrative systems biology for data-driven knowledge discovery
Casey S Greene, Olga G Troyanskaya
Computational and Structural Biotechnology Journal
|
July 9, 2020
Constructing knowledge graphs and their biomedical applications
David N Nicholson, Casey S Greene
Journal of Biomedical Informatics
|
October 17, 2016
Semi-supervised learning of the electronic health record for phenotype stratification
Brett K Beaulieu-Jones, Casey S Greene,
Bioinformatics Advances
|
January 29, 2024
Optimizer's dilemma: optimization strongly influences model selection in transcriptomic prediction
Jake Crawford, Maria Chikina, Casey S Greene
Nature Biotechnology
|
March 14, 2017
Reproducibility of computational workflows is automated using continuous analysis
Brett K Beaulieu-Jones, Casey S Greene
Patterns (New York, N.Y.)
|
January 8, 2025
Best holdout assessment is sufficient for cancer transcriptomic model selection
Jake Crawford, Maria Chikina, Casey S Greene
Page
of 19
Search research articles
Search
Showing results (21-30 of 185) with videos related to
Sort By:
Page
of 19
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|
December 9, 2017
Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders
Gregory P Way, Casey S Greene
Annals of the New York Academy of Sciences
|
January 25, 2012
Accurate evaluation and analysis of functional genomics data and methods
Casey S Greene, Olga G Troyanskaya
Nucleic Acids Research
|
June 10, 2011
PILGRM: an interactive data-driven discovery platform for expert biologists
Casey S Greene, Olga G Troyanskaya
Nature Methods
|
December 4, 2018
Bayesian deep learning for single-cell analysis
Gregory P Way, Casey S Greene
Seminars in Nephrology
|
November 4, 2010
Integrative systems biology for data-driven knowledge discovery
Casey S Greene, Olga G Troyanskaya
Computational and Structural Biotechnology Journal
|
July 9, 2020
Constructing knowledge graphs and their biomedical applications
David N Nicholson, Casey S Greene
Journal of Biomedical Informatics
|
October 17, 2016
Semi-supervised learning of the electronic health record for phenotype stratification
Brett K Beaulieu-Jones, Casey S Greene,
Bioinformatics Advances
|
January 29, 2024
Optimizer's dilemma: optimization strongly influences model selection in transcriptomic prediction
Jake Crawford, Maria Chikina, Casey S Greene
Nature Biotechnology
|
March 14, 2017
Reproducibility of computational workflows is automated using continuous analysis
Brett K Beaulieu-Jones, Casey S Greene
Patterns (New York, N.Y.)
|
January 8, 2025
Best holdout assessment is sufficient for cancer transcriptomic model selection
Jake Crawford, Maria Chikina, Casey S Greene
Page
of 19