RUVSeq - Remove Unwanted Variation from RNA-Seq Data

This package implements the remove unwanted variation (RUV) methods of Risso et al. (2014) for the normalization of RNA-Seq read counts between samples.

Last updated 4 months ago

immunooncologydifferentialexpressionpreprocessingrnaseqsoftware

9.90 score 13 stars 5 dependents 482 scripts 1.4k downloads

scone - Single Cell Overview of Normalized Expression data

SCONE is an R package for comparing and ranking the performance of different normalization schemes for single-cell RNA-seq and other high-throughput analyses.

Last updated 16 days ago

immunooncologynormalizationpreprocessingqualitycontrolgeneexpressionrnaseqsoftwaretranscriptomicssequencingsinglecellcoverage

9.12 score 53 stars 104 scripts 422 downloads

mbkmeans - Mini-batch K-means Clustering for Single-Cell RNA-seq

Implements the mini-batch k-means algorithm for large datasets, including support for on-disk data representation.

Last updated 4 months ago

clusteringgeneexpressionrnaseqsoftwaretranscriptomicssequencingsinglecellhuman-cell-atlascpp

7.41 score 10 stars 2 dependents 54 scripts 873 downloads