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William S Noble

Showing results (1-10 of 149) with videos related to

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Nature Biotechnology|December 13, 2006
What is a support vector machine?William S Noble
Nature Biotechnology|December 17, 2009
How does multiple testing correction work?William S Noble
Genome Biology|September 3, 2015
Analysis methods for studying the 3D architecture of the genomeFerhat Ay, William S Noble
Molecular & Cellular Proteomics : MCP|November 19, 2025
Proteomics Data Imputation With a Deep Model That Learns From Many DatasetsLincoln Harris, William S Noble
Biorxiv : the Preprint Server for Biology|September 10, 2024
Imputation of cancer proteomics data with a deep model that learns from many datasetsLincoln Harris, William S Noble
Bioinformatics (Oxford, England)|February 28, 2004
Genomic data visualization on the WebWei Wu, William S Noble
Journal of Proteome Research|February 4, 2020
Machine Learning Strategy That Leverages Large Data sets to Boost Statistical Power in Small-Scale ExperimentsWilliam E Fondrie, William S Noble
Journal of Proteome Research|February 17, 2021
mokapot: Fast and Flexible Semisupervised Learning for Peptide DetectionWilliam E Fondrie, William S Noble
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 12, 2018
Submodular Generalized Matching for Peptide Identification in Tandem Mass SpectrometryWenruo Bai, Jeffrey Bilmes, William S Noble
Journal of Proteome Research|April 23, 2024
Analysis of Tandem Mass Spectrometry Data with CONGA: Combining Open and Narrow Searches with Group-Wise AnalysisJack Freestone, William S Noble, Uri Keich
Pageof 15

Showing results (1-10 of 149) with videos related to

Sort By:
Pageof 15
Nature Biotechnology|December 13, 2006
What is a support vector machine?William S Noble
Nature Biotechnology|December 17, 2009
How does multiple testing correction work?William S Noble
Genome Biology|September 3, 2015
Analysis methods for studying the 3D architecture of the genomeFerhat Ay, William S Noble
Molecular & Cellular Proteomics : MCP|November 19, 2025
Proteomics Data Imputation With a Deep Model That Learns From Many DatasetsLincoln Harris, William S Noble
Biorxiv : the Preprint Server for Biology|September 10, 2024
Imputation of cancer proteomics data with a deep model that learns from many datasetsLincoln Harris, William S Noble
Bioinformatics (Oxford, England)|February 28, 2004
Genomic data visualization on the WebWei Wu, William S Noble
Journal of Proteome Research|February 4, 2020
Machine Learning Strategy That Leverages Large Data sets to Boost Statistical Power in Small-Scale ExperimentsWilliam E Fondrie, William S Noble
Journal of Proteome Research|February 17, 2021
mokapot: Fast and Flexible Semisupervised Learning for Peptide DetectionWilliam E Fondrie, William S Noble
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 12, 2018
Submodular Generalized Matching for Peptide Identification in Tandem Mass SpectrometryWenruo Bai, Jeffrey Bilmes, William S Noble
Journal of Proteome Research|April 23, 2024
Analysis of Tandem Mass Spectrometry Data with CONGA: Combining Open and Narrow Searches with Group-Wise AnalysisJack Freestone, William S Noble, Uri Keich
Pageof 15