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Thomas D Sherman

Showing results (1-10 of 4) with videos related to

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BMC Bioinformatics|October 15, 2020
CoGAPS 3: Bayesian non-negative matrix factorization for single-cell analysis with asynchronous updates and sparse data structuresThomas D Sherman, Tiger Gao, Elana J Fertig
Cancer Research|July 25, 2019
Differential Variation Analysis Enables Detection of Tumor Heterogeneity Using Single-Cell RNA-Sequencing DataEmily F Davis-Marcisak, Thomas D Sherman, Pranay Orugunta, et al.
Plos Computational Biology|April 20, 2019
CancerInSilico: An R/Bioconductor package for combining mathematical and statistical modeling to simulate time course bulk and single cell gene expression data in cancerThomas D Sherman, Luciane T Kagohara, Raymon Cao, et al.
Developmental Cell|May 11, 2020
Single-Cell Analysis of Human Retina Identifies Evolutionarily Conserved and Species-Specific Mechanisms Controlling DevelopmentYufeng Lu, Fion Shiau, Wenyang Yi, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
BMC Bioinformatics|October 15, 2020
CoGAPS 3: Bayesian non-negative matrix factorization for single-cell analysis with asynchronous updates and sparse data structuresThomas D Sherman, Tiger Gao, Elana J Fertig
Cancer Research|July 25, 2019
Differential Variation Analysis Enables Detection of Tumor Heterogeneity Using Single-Cell RNA-Sequencing DataEmily F Davis-Marcisak, Thomas D Sherman, Pranay Orugunta, et al.
Plos Computational Biology|April 20, 2019
CancerInSilico: An R/Bioconductor package for combining mathematical and statistical modeling to simulate time course bulk and single cell gene expression data in cancerThomas D Sherman, Luciane T Kagohara, Raymon Cao, et al.
Developmental Cell|May 11, 2020
Single-Cell Analysis of Human Retina Identifies Evolutionarily Conserved and Species-Specific Mechanisms Controlling DevelopmentYufeng Lu, Fion Shiau, Wenyang Yi, et al.
Pageof 1