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Raphael Gottardo

Showing results (11-20 of 187) with videos related to

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Nature Biotechnology|June 10, 2016
The contribution of cell cycle to heterogeneity in single-cell RNA-seq dataAndrew McDavid, Greg Finak, Raphael Gottardo
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|March 1, 2008
Automated gating of flow cytometry data via robust model-based clusteringKenneth Lo, Ryan Remy Brinkman, Raphael Gottardo
Bioinformatics (Oxford, England)|June 6, 2018
ggCyto: next generation open-source visualization software for cytometryPhu Van, Wenxin Jiang, Raphael Gottardo, et al.
Biostatistics (Oxford, England)|July 29, 2005
Probabilistic segmentation and intensity estimation for microarray imagesRaphael Gottardo, Julian Besag, Matthew Stephens, et al.
The Annals of Applied Statistics|August 8, 2019
GRAPHICAL MODELS FOR ZERO-INFLATED SINGLE CELL GENE EXPRESSIONAndrew McDavid, Raphael Gottardo, Noah Simon, et al.
Nature Methods|June 3, 2020
Aggregating transcript-level analyses for single-cell differential gene expressionEtienne Becht, Edward Zhao, Robert Amezquita, et al.
BMC Bioinformatics|May 16, 2009
flowClust: a Bioconductor package for automated gating of flow cytometry dataKenneth Lo, Florian Hahne, Ryan R Brinkman, et al.
BMC Bioinformatics|November 6, 2010
Optimizing transformations for automated, high throughput analysis of flow cytometry dataGreg Finak, Juan-Manuel Perez, Andrew Weng, et al.
Bioinformatics (Oxford, England)|June 22, 2013
PING 2.0: an R/Bioconductor package for nucleosome positioning using next-generation sequencing dataSangsoon Woo, Xuekui Zhang, Renan Sauteraud, et al.
Nature Biotechnology|January 21, 2014
Computational resources for high-dimensional immune analysis from the Human Immunology Project ConsortiumVladimir Brusic, Raphael Gottardo, Steven H Kleinstein, et al.
Pageof 19

Showing results (11-20 of 187) with videos related to

Sort By:
Pageof 19
Nature Biotechnology|June 10, 2016
The contribution of cell cycle to heterogeneity in single-cell RNA-seq dataAndrew McDavid, Greg Finak, Raphael Gottardo
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|March 1, 2008
Automated gating of flow cytometry data via robust model-based clusteringKenneth Lo, Ryan Remy Brinkman, Raphael Gottardo
Bioinformatics (Oxford, England)|June 6, 2018
ggCyto: next generation open-source visualization software for cytometryPhu Van, Wenxin Jiang, Raphael Gottardo, et al.
Biostatistics (Oxford, England)|July 29, 2005
Probabilistic segmentation and intensity estimation for microarray imagesRaphael Gottardo, Julian Besag, Matthew Stephens, et al.
The Annals of Applied Statistics|August 8, 2019
GRAPHICAL MODELS FOR ZERO-INFLATED SINGLE CELL GENE EXPRESSIONAndrew McDavid, Raphael Gottardo, Noah Simon, et al.
Nature Methods|June 3, 2020
Aggregating transcript-level analyses for single-cell differential gene expressionEtienne Becht, Edward Zhao, Robert Amezquita, et al.
BMC Bioinformatics|May 16, 2009
flowClust: a Bioconductor package for automated gating of flow cytometry dataKenneth Lo, Florian Hahne, Ryan R Brinkman, et al.
BMC Bioinformatics|November 6, 2010
Optimizing transformations for automated, high throughput analysis of flow cytometry dataGreg Finak, Juan-Manuel Perez, Andrew Weng, et al.
Bioinformatics (Oxford, England)|June 22, 2013
PING 2.0: an R/Bioconductor package for nucleosome positioning using next-generation sequencing dataSangsoon Woo, Xuekui Zhang, Renan Sauteraud, et al.
Nature Biotechnology|January 21, 2014
Computational resources for high-dimensional immune analysis from the Human Immunology Project ConsortiumVladimir Brusic, Raphael Gottardo, Steven H Kleinstein, et al.
Pageof 19