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Hannah Dueck

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Bioessays : News and Reviews in Molecular, Cellular and Developmental Biology|December 3, 2015
Variation is function: Are single cell differences functionally important?: Testing the hypothesis that single cell variation is required for aggregate functionHannah Dueck, James Eberwine, Junhyong Kim
BMC Bioinformatics|January 7, 2018
PIVOT: platform for interactive analysis and visualization of transcriptomics dataQin Zhu, Stephen A Fisher, Hannah Dueck, et al.
Cell Systems|February 19, 2018
Rare Cell Detection by Single-Cell RNA Sequencing as Guided by Single-Molecule RNA FISHEduardo Torre, Hannah Dueck, Sydney Shaffer, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 28, 2018
Gene expression distribution deconvolution in single-cell RNA sequencingJingshu Wang, Mo Huang, Eduardo Torre, et al.
Nature Methods|June 27, 2018
SAVER: gene expression recovery for single-cell RNA sequencingMo Huang, Jingshu Wang, Eduardo Torre, et al.
Plos One|April 15, 2021
Systems epidemiology and cancer: A review of the National Institutes of Health extramural grant portfolio 2013-2018Marissa M Shams-White, Rolando Barajas, Roxanne E Jensen, et al.
Science (New York, N.Y.)|September 7, 2019
A lineage-resolved molecular atlas of <i>C. elegans</i> embryogenesis at single-cell resolutionJonathan S Packer, Qin Zhu, Chau Huynh, et al.
FASEB Journal : Official Publication of the Federation of American Societies for Experimental Biology|August 26, 2015
Single-cell transcriptomics and functional target validation of brown adipocytes show their complex roles in metabolic homeostasisJennifer M Spaethling, Manuel Sanchez-Alavez, JaeHee Lee, et al.
Genome Biology|June 10, 2015
Deep sequencing reveals cell-type-specific patterns of single-cell transcriptome variationHannah Dueck, Mugdha Khaladkar, Tae Kyung Kim, et al.
Genome Biology|July 2, 2014
IVT-seq reveals extreme bias in RNA sequencingNicholas F Lahens, Ibrahim Halil Kavakli, Ray Zhang, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Bioessays : News and Reviews in Molecular, Cellular and Developmental Biology|December 3, 2015
Variation is function: Are single cell differences functionally important?: Testing the hypothesis that single cell variation is required for aggregate functionHannah Dueck, James Eberwine, Junhyong Kim
BMC Bioinformatics|January 7, 2018
PIVOT: platform for interactive analysis and visualization of transcriptomics dataQin Zhu, Stephen A Fisher, Hannah Dueck, et al.
Cell Systems|February 19, 2018
Rare Cell Detection by Single-Cell RNA Sequencing as Guided by Single-Molecule RNA FISHEduardo Torre, Hannah Dueck, Sydney Shaffer, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 28, 2018
Gene expression distribution deconvolution in single-cell RNA sequencingJingshu Wang, Mo Huang, Eduardo Torre, et al.
Nature Methods|June 27, 2018
SAVER: gene expression recovery for single-cell RNA sequencingMo Huang, Jingshu Wang, Eduardo Torre, et al.
Plos One|April 15, 2021
Systems epidemiology and cancer: A review of the National Institutes of Health extramural grant portfolio 2013-2018Marissa M Shams-White, Rolando Barajas, Roxanne E Jensen, et al.
Science (New York, N.Y.)|September 7, 2019
A lineage-resolved molecular atlas of <i>C. elegans</i> embryogenesis at single-cell resolutionJonathan S Packer, Qin Zhu, Chau Huynh, et al.
FASEB Journal : Official Publication of the Federation of American Societies for Experimental Biology|August 26, 2015
Single-cell transcriptomics and functional target validation of brown adipocytes show their complex roles in metabolic homeostasisJennifer M Spaethling, Manuel Sanchez-Alavez, JaeHee Lee, et al.
Genome Biology|June 10, 2015
Deep sequencing reveals cell-type-specific patterns of single-cell transcriptome variationHannah Dueck, Mugdha Khaladkar, Tae Kyung Kim, et al.
Genome Biology|July 2, 2014
IVT-seq reveals extreme bias in RNA sequencingNicholas F Lahens, Ibrahim Halil Kavakli, Ray Zhang, et al.
Pageof 2