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Charlotte Soneson

Showing results (1-10 of 84) with videos related to

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Bioinformatics (Oxford, England)|May 13, 2014
compcodeR--an R package for benchmarking differential expression methods for RNA-seq dataCharlotte Soneson
BMC Bioinformatics|March 19, 2013
A comparison of methods for differential expression analysis of RNA-seq dataCharlotte Soneson, Mauro Delorenzi
Biostatistics (Oxford, England)|September 13, 2011
A framework for list representation, enabling list stabilization through incorporation of gene exchangeabilitiesCharlotte Soneson, Magnus Fontes
BMC Bioinformatics|July 30, 2011
The projection score--an evaluation criterion for variable subset selection in PCA visualizationMagnus Fontes, Charlotte Soneson
F1000Research|December 21, 2019
HDCytoData: Collection of high-dimensional cytometry benchmark datasets in Bioconductor object formatsLukas M Weber, Charlotte Soneson
Bioinformatics (Oxford, England)|October 14, 2017
Towards unified quality verification of synthetic count data with countsimQCCharlotte Soneson, Mark D Robinson
Nature Methods|March 31, 2016
iCOBRA: open, reproducible, standardized and live method benchmarkingCharlotte Soneson, Mark D Robinson
Nature Methods|February 27, 2018
Bias, robustness and scalability in single-cell differential expression analysisCharlotte Soneson, Mark D Robinson
Plos One|June 27, 2014
Batch effect confounding leads to strong bias in performance estimates obtained by cross-validationCharlotte Soneson, Sarah Gerster, Mauro Delorenzi
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 10, 2015
Low Bias Local Intrinsic Dimension Estimation from Expected Simplex SkewnessKerstin Johnsson, Charlotte Soneson, Magnus Fontes
Pageof 9

Showing results (1-10 of 84) with videos related to

Sort By:
Pageof 9
Bioinformatics (Oxford, England)|May 13, 2014
compcodeR--an R package for benchmarking differential expression methods for RNA-seq dataCharlotte Soneson
BMC Bioinformatics|March 19, 2013
A comparison of methods for differential expression analysis of RNA-seq dataCharlotte Soneson, Mauro Delorenzi
Biostatistics (Oxford, England)|September 13, 2011
A framework for list representation, enabling list stabilization through incorporation of gene exchangeabilitiesCharlotte Soneson, Magnus Fontes
BMC Bioinformatics|July 30, 2011
The projection score--an evaluation criterion for variable subset selection in PCA visualizationMagnus Fontes, Charlotte Soneson
F1000Research|December 21, 2019
HDCytoData: Collection of high-dimensional cytometry benchmark datasets in Bioconductor object formatsLukas M Weber, Charlotte Soneson
Bioinformatics (Oxford, England)|October 14, 2017
Towards unified quality verification of synthetic count data with countsimQCCharlotte Soneson, Mark D Robinson
Nature Methods|March 31, 2016
iCOBRA: open, reproducible, standardized and live method benchmarkingCharlotte Soneson, Mark D Robinson
Nature Methods|February 27, 2018
Bias, robustness and scalability in single-cell differential expression analysisCharlotte Soneson, Mark D Robinson
Plos One|June 27, 2014
Batch effect confounding leads to strong bias in performance estimates obtained by cross-validationCharlotte Soneson, Sarah Gerster, Mauro Delorenzi
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 10, 2015
Low Bias Local Intrinsic Dimension Estimation from Expected Simplex SkewnessKerstin Johnsson, Charlotte Soneson, Magnus Fontes
Pageof 9