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Elizabeth Purdom

Showing results (11-20 of 49) with videos related to

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Plos Computational Biology|January 26, 2021
mbkmeans: Fast clustering for single cell data using mini-batch k-meansStephanie C Hicks, Ruoxi Liu, Yuwei Ni, et al.
Molecular Cell|October 23, 2012
A Tetrahymena Piwi bound to mature tRNA 3' fragments activates the exonuclease Xrn2 for RNA processing in the nucleusMary T Couvillion, Gergana Bounova, Elizabeth Purdom, et al.
Bioinformatics (Oxford, England)|September 26, 2013
Methods and challenges in timing chromosomal abnormalities within cancer samplesElizabeth Purdom, Christine Ho, Catherine S Grasso, et al.
Plos Computational Biology|September 5, 2018
clusterExperiment and RSEC: A Bioconductor package and framework for clustering of single-cell and other large gene expression datasetsDavide Risso, Liam Purvis, Russell B Fletcher, et al.
Plos One|March 26, 2011
Unifying gene expression measures from multiple platforms using factor analysisXin Victoria Wang, Roel G W Verhaak, Elizabeth Purdom, et al.
Cell Systems|April 26, 2019
Performance Assessment and Selection of Normalization Procedures for Single-Cell RNA-SeqMichael B Cole, Davide Risso, Allon Wagner, et al.
BMC Genomics|June 20, 2018
Slingshot: cell lineage and pseudotime inference for single-cell transcriptomicsKelly Street, Davide Risso, Russell B Fletcher, et al.
Cancer Research|May 20, 2004
Microarray analysis reveals differences in gene expression of circulating CD8(+) T cells in melanoma patients and healthy donorsTong Xu, Chen-Tsen Shu, Elizabeth Purdom, et al.
Biorxiv : the Preprint Server for Biology|November 14, 2023
A Latent Activated Olfactory Stem Cell State Revealed by Single-Cell Transcriptomic and Epigenomic ProfilingKoen Van den Berge, Dana Bakalar, Hsin-Jung Chou, et al.
Stem Cell Reports|January 9, 2026
A latent activated olfactory stem cell state revealed by single-cell transcriptomic and epigenomic profilingKoen Van den Berge, Dana Bakalar, Hsin-Jung Chou, et al.
Pageof 5

Showing results (11-20 of 49) with videos related to

Sort By:
Pageof 5
Plos Computational Biology|January 26, 2021
mbkmeans: Fast clustering for single cell data using mini-batch k-meansStephanie C Hicks, Ruoxi Liu, Yuwei Ni, et al.
Molecular Cell|October 23, 2012
A Tetrahymena Piwi bound to mature tRNA 3' fragments activates the exonuclease Xrn2 for RNA processing in the nucleusMary T Couvillion, Gergana Bounova, Elizabeth Purdom, et al.
Bioinformatics (Oxford, England)|September 26, 2013
Methods and challenges in timing chromosomal abnormalities within cancer samplesElizabeth Purdom, Christine Ho, Catherine S Grasso, et al.
Plos Computational Biology|September 5, 2018
clusterExperiment and RSEC: A Bioconductor package and framework for clustering of single-cell and other large gene expression datasetsDavide Risso, Liam Purvis, Russell B Fletcher, et al.
Plos One|March 26, 2011
Unifying gene expression measures from multiple platforms using factor analysisXin Victoria Wang, Roel G W Verhaak, Elizabeth Purdom, et al.
Cell Systems|April 26, 2019
Performance Assessment and Selection of Normalization Procedures for Single-Cell RNA-SeqMichael B Cole, Davide Risso, Allon Wagner, et al.
BMC Genomics|June 20, 2018
Slingshot: cell lineage and pseudotime inference for single-cell transcriptomicsKelly Street, Davide Risso, Russell B Fletcher, et al.
Cancer Research|May 20, 2004
Microarray analysis reveals differences in gene expression of circulating CD8(+) T cells in melanoma patients and healthy donorsTong Xu, Chen-Tsen Shu, Elizabeth Purdom, et al.
Biorxiv : the Preprint Server for Biology|November 14, 2023
A Latent Activated Olfactory Stem Cell State Revealed by Single-Cell Transcriptomic and Epigenomic ProfilingKoen Van den Berge, Dana Bakalar, Hsin-Jung Chou, et al.
Stem Cell Reports|January 9, 2026
A latent activated olfactory stem cell state revealed by single-cell transcriptomic and epigenomic profilingKoen Van den Berge, Dana Bakalar, Hsin-Jung Chou, et al.
Pageof 5