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Michael I Love

Showing results (1-10 of 137) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|April 9, 2021
Statistical Modeling of High Dimensional CountsMichael I Love
F1000Research|April 5, 2021
Fast effect size shrinkage software for beta-binomial models of allelic imbalanceJoshua P Zitovsky, Michael I Love
Biorxiv : the Preprint Server for Biology|May 25, 2026
Efficient and Tidy Manipulation of Annotated Matrix Data with plyxpJustin T Landis, Michael I Love
Genome Biology|December 18, 2014
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2Michael I Love, Wolfgang Huber, Simon Anders
F1000Research|June 13, 2020
Fluent genomics with  <i>plyranges </i>and  <i>tximeta</i>Stuart Lee, Michael Lawrence, Michael I Love
Plos Genetics|March 8, 2021
MOSTWAS: Multi-Omic Strategies for Transcriptome-Wide Association StudiesArjun Bhattacharya, Yun Li, Michael I Love
F1000Research|October 30, 2018
Swimming downstream: statistical analysis of differential transcript usage following Salmon quantificationMichael I Love, Charlotte Soneson, Rob Patro
Bioinformatics (Oxford, England)|November 6, 2018
Heavy-tailed prior distributions for sequence count data: removing the noise and preserving large differencesAnqi Zhu, Joseph G Ibrahim, Michael I Love
Human Brain Mapping|October 24, 2020
Evaluating brain structure traits as endophenotypes using polygenicity and discoverabilityNana Matoba, Michael I Love, Jason L Stein
F1000Research|March 12, 2016
Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferencesCharlotte Soneson, Michael I Love, Mark D Robinson
Pageof 14

Showing results (1-10 of 137) with videos related to

Sort By:
Pageof 14
Methods in Molecular Biology (Clifton, N.J.)|April 9, 2021
Statistical Modeling of High Dimensional CountsMichael I Love
F1000Research|April 5, 2021
Fast effect size shrinkage software for beta-binomial models of allelic imbalanceJoshua P Zitovsky, Michael I Love
Biorxiv : the Preprint Server for Biology|May 25, 2026
Efficient and Tidy Manipulation of Annotated Matrix Data with plyxpJustin T Landis, Michael I Love
Genome Biology|December 18, 2014
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2Michael I Love, Wolfgang Huber, Simon Anders
F1000Research|June 13, 2020
Fluent genomics with  <i>plyranges </i>and  <i>tximeta</i>Stuart Lee, Michael Lawrence, Michael I Love
Plos Genetics|March 8, 2021
MOSTWAS: Multi-Omic Strategies for Transcriptome-Wide Association StudiesArjun Bhattacharya, Yun Li, Michael I Love
F1000Research|October 30, 2018
Swimming downstream: statistical analysis of differential transcript usage following Salmon quantificationMichael I Love, Charlotte Soneson, Rob Patro
Bioinformatics (Oxford, England)|November 6, 2018
Heavy-tailed prior distributions for sequence count data: removing the noise and preserving large differencesAnqi Zhu, Joseph G Ibrahim, Michael I Love
Human Brain Mapping|October 24, 2020
Evaluating brain structure traits as endophenotypes using polygenicity and discoverabilityNana Matoba, Michael I Love, Jason L Stein
F1000Research|March 12, 2016
Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferencesCharlotte Soneson, Michael I Love, Mark D Robinson
Pageof 14