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Quin F Wills

Showing results (1-10 of 14) with videos related to

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Human Molecular Genetics|June 27, 2015
Application of single-cell genomics in cancer: promise and challengesQuin F Wills, Adam J Mead
Epigenomics|December 9, 2015
Studying epigenomics in single cells: what is feasible and what can we learn?Quin F Wills, Douglas R Higgs, Adam J Mead
Diabetologia|March 17, 2015
A live-cell, high-content imaging survey of 206 endogenous factors across five stress conditions reveals context-dependent survival effects in mouse primary beta cellsYu Hsuan Carol Yang, Quin F Wills, James D Johnson
Bioinformatics (Oxford, England)|January 16, 2017
Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in RDavis J McCarthy, Kieran R Campbell, Aaron T L Lun, et al.
Bioinformatics (Oxford, England)|March 1, 2018
Isoform-level gene expression patterns in single-cell RNA-sequencing dataTrung Nghia Vu, Quin F Wills, Krishna R Kalari, et al.
Bioinformatics (Oxford, England)|May 7, 2016
Beta-Poisson model for single-cell RNA-seq data analysesTrung Nghia Vu, Quin F Wills, Krishna R Kalari, et al.
Islets|February 25, 2016
Statistical approaches and software for clustering islet cell functional heterogeneityQuin F Wills, Tobias Boothe, Ali Asadi, et al.
Nature Biotechnology|July 23, 2013
Single-cell gene expression analysis reveals genetic associations masked in whole-tissue experimentsQuin F Wills, Kenneth J Livak, Alex J Tipping, et al.
Methods (San Diego, Calif.)|October 20, 2012
Methods for qPCR gene expression profiling applied to 1440 lymphoblastoid single cellsKenneth J Livak, Quin F Wills, Alex J Tipping, et al.
Oncotarget|April 21, 2017
Model-based unsupervised learning informs metformin-induced cell-migration inhibition through an AMPK-independent mechanism in breast cancerArjun P Athreya, Krishna R Kalari, Junmei Cairns, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Human Molecular Genetics|June 27, 2015
Application of single-cell genomics in cancer: promise and challengesQuin F Wills, Adam J Mead
Epigenomics|December 9, 2015
Studying epigenomics in single cells: what is feasible and what can we learn?Quin F Wills, Douglas R Higgs, Adam J Mead
Diabetologia|March 17, 2015
A live-cell, high-content imaging survey of 206 endogenous factors across five stress conditions reveals context-dependent survival effects in mouse primary beta cellsYu Hsuan Carol Yang, Quin F Wills, James D Johnson
Bioinformatics (Oxford, England)|January 16, 2017
Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in RDavis J McCarthy, Kieran R Campbell, Aaron T L Lun, et al.
Bioinformatics (Oxford, England)|March 1, 2018
Isoform-level gene expression patterns in single-cell RNA-sequencing dataTrung Nghia Vu, Quin F Wills, Krishna R Kalari, et al.
Bioinformatics (Oxford, England)|May 7, 2016
Beta-Poisson model for single-cell RNA-seq data analysesTrung Nghia Vu, Quin F Wills, Krishna R Kalari, et al.
Islets|February 25, 2016
Statistical approaches and software for clustering islet cell functional heterogeneityQuin F Wills, Tobias Boothe, Ali Asadi, et al.
Nature Biotechnology|July 23, 2013
Single-cell gene expression analysis reveals genetic associations masked in whole-tissue experimentsQuin F Wills, Kenneth J Livak, Alex J Tipping, et al.
Methods (San Diego, Calif.)|October 20, 2012
Methods for qPCR gene expression profiling applied to 1440 lymphoblastoid single cellsKenneth J Livak, Quin F Wills, Alex J Tipping, et al.
Oncotarget|April 21, 2017
Model-based unsupervised learning informs metformin-induced cell-migration inhibition through an AMPK-independent mechanism in breast cancerArjun P Athreya, Krishna R Kalari, Junmei Cairns, et al.
Pageof 2