drisso/bioc2016singlecell

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Created over 8 years ago
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drisso/bioc2016singlecell

drisso

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Bioconductor workshop: Analysis of single-cell RNA-seq data with R and Bioconductor

SingleCellExperiment

Clone of the Bioconductor repository for the SingleCellExperiment package, see https://bioconductor.org/packages/devel/bioc/html/SingleCellExperiment.html for the official development version.

zinbwave

Clone of the Bioconductor repository for the zinbwave package, see https://bioconductor.org/packages/zinbwave

RUVSeq

Clone of the Bioconductor repository for the RUVSeq package, see https://bioconductor.org/packages/devel/bioc/html/RUVSeq.html for the official development version.

ThrivingInBioinformatics

learn2count

Structure learning based for zero-inflated negative binomial data

zinb_analysis

Data analysis and simulations for the ZINB-WaVE paper

peixoto2015_tutorial

Tutorial to reproduce the analysis of Peixoto et al. (2015)

archive-RUVSeq

Archived version of RUVSeq

mbkmeans

K-means clustering for large single-cell datasets

rnaseq_meetup

archive-SingleCellExperiment

This is the archived version of SingleCellExperiment with the history before Bioc submission.

archive-zinbwave

Archived version of the zinbwave package. All future development will be done on https://github.com/drisso/zinbwave

archive-scRNAseq

Archived version of the scRNAseq Bioconductor package. All future development will be done at https://github.com/LTLA/scRNAseq

bioc2019singlecell

awst

Asymmetric Winsorization per Sample Transformation

x94

Code and data to reproduce the analysis of Naka et al.

compgen_berlin2016

EDASeq

Clone of the Bioconductor repository for the EDASeq package, see https://bioconductor.org/packages/devel/bioc/html/EDASeq.html for the official development version.

awst_analysis

Code to reproduce the analyses of the AWST paper

archive-EDASeq

Archived version of EDASeq

reproducible_research

Topics on reproducible research

deconsgl

Deconvolution of RNA-Seq Via Sparse Group Lasso

structure_learning

Code to reproduce the analyses of Hue Nguyen et al. (2020)