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Sach Mukherjee

Showing results (11-20 of 35) with videos related to

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Journal of Machine Learning Research : JMLR|January 30, 2020
Causal Learning via Manifold RegularizationSteven M Hill, Chris J Oates, Duncan A Blythe, et al.
Biostatistics (Oxford, England)|August 7, 2021
Tailored Bayes: a risk modeling framework under unequal misclassification costsSolon Karapanagiotis, Umberto Benedetto, Sach Mukherjee, et al.
Bioinformatics (Oxford, England)|July 21, 2012
Network inference using steady-state data and Goldbeter-Koshland kinetics. [corrected]Chris J Oates, Bryan T Hennessy, Yiling Lu, et al.
Bioinformatics (Oxford, England)|August 28, 2014
Causal network inference using biochemical kineticsChris J Oates, Frank Dondelinger, Nora Bayani, et al.
Bioinformatics (Oxford, England)|May 24, 2017
Molecular heterogeneity at the network level: high-dimensional testing, clustering and a TCGA case studyNicolas Städler, Frank Dondelinger, Steven M Hill, et al.
Scientific Reports|January 18, 2014
A stochastic model dissects cell states in biological transition processesJonathan W Armond, Krishanu Saha, Anas A Rana, et al.
Scientific Reports|May 24, 2024
Development and validation of a reliable DNA copy-number-based machine learning algorithm (CopyClust) for breast cancer integrative cluster classificationCameron C Young, Katherine Eason, Raquel Manzano Garcia, et al.
BMC Bioinformatics|May 15, 2012
Integrating biological knowledge into variable selection: an empirical Bayes approach with an application in cancer biologySteven M Hill, Richard M Neve, Nora Bayani, et al.
Bioinformatics (Oxford, England)|November 29, 2008
Sparse combinatorial inference with an application in cancer biologySach Mukherjee, Steven Pelech, Richard M Neve, et al.
Bioinformatics (Oxford, England)|December 10, 2009
Temporal clustering by affinity propagation reveals transcriptional modules in Arabidopsis thalianaSteven J Kiddle, Oliver P F Windram, Stuart McHattie, et al.
Pageof 4

Showing results (11-20 of 35) with videos related to

Sort By:
Pageof 4
Journal of Machine Learning Research : JMLR|January 30, 2020
Causal Learning via Manifold RegularizationSteven M Hill, Chris J Oates, Duncan A Blythe, et al.
Biostatistics (Oxford, England)|August 7, 2021
Tailored Bayes: a risk modeling framework under unequal misclassification costsSolon Karapanagiotis, Umberto Benedetto, Sach Mukherjee, et al.
Bioinformatics (Oxford, England)|July 21, 2012
Network inference using steady-state data and Goldbeter-Koshland kinetics. [corrected]Chris J Oates, Bryan T Hennessy, Yiling Lu, et al.
Bioinformatics (Oxford, England)|August 28, 2014
Causal network inference using biochemical kineticsChris J Oates, Frank Dondelinger, Nora Bayani, et al.
Bioinformatics (Oxford, England)|May 24, 2017
Molecular heterogeneity at the network level: high-dimensional testing, clustering and a TCGA case studyNicolas Städler, Frank Dondelinger, Steven M Hill, et al.
Scientific Reports|January 18, 2014
A stochastic model dissects cell states in biological transition processesJonathan W Armond, Krishanu Saha, Anas A Rana, et al.
Scientific Reports|May 24, 2024
Development and validation of a reliable DNA copy-number-based machine learning algorithm (CopyClust) for breast cancer integrative cluster classificationCameron C Young, Katherine Eason, Raquel Manzano Garcia, et al.
BMC Bioinformatics|May 15, 2012
Integrating biological knowledge into variable selection: an empirical Bayes approach with an application in cancer biologySteven M Hill, Richard M Neve, Nora Bayani, et al.
Bioinformatics (Oxford, England)|November 29, 2008
Sparse combinatorial inference with an application in cancer biologySach Mukherjee, Steven Pelech, Richard M Neve, et al.
Bioinformatics (Oxford, England)|December 10, 2009
Temporal clustering by affinity propagation reveals transcriptional modules in Arabidopsis thalianaSteven J Kiddle, Oliver P F Windram, Stuart McHattie, et al.
Pageof 4