M3Drop

dropout modeler

Software to model and analyze dropout patterns in single-cell RNA sequencing data

GitHub

29 stars
5 watching
9 forks
Language: R
last commit: 9 months ago
Linked from 1 awesome list

human-cell-atlasrna-seqsingle-cellsingle-cell-rna-seq

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
marchinilab/dropsim A tool for simulating single-cell RNA sequencing data for research purposes. 5
debsin/dropclust A bioinformatics R package for cluster analysis of single-cell RNA-seq data 23
kharchenkolab/dropest A software pipeline for analyzing single-cell RNA-seq data from droplet-based experiments 88
imb-computational-genomics-lab/ascend Tools and methods for analyzing single-cell RNA sequencing data, including expression normalization and differential gene expression analysis. 22
kenlaulab/dropkick Automated cell filtering tool for single-cell RNA sequencing data analysis 24
qile0317/apackoftheclones Tools for visualizing and analyzing clonal expansion in immune cell populations 14
hms-dbmi/scde Provides statistical methods for analyzing single-cell RNA-seq data, focusing on error modeling and differential expression analysis. 173
miguelvr/dropblock Regularizes convolutional networks by randomly dropping units in contiguous regions of feature maps 588
hoohm/dropseqpipe A pre-processing workflow for SingleCell RNASeq data from raw sequencing data to final count matrix with QC plots. 147
snakemake-workflows/single-cell-rna-seq A workflow generator for single-cell RNA-seq data analysis 99
mohuangx/saver Recover gene expression profiles from noisy single-cell RNA-seq data using regression and empirical Bayes methods. 109
hemberg-lab/sc3 A tool for clustering cells from single cell RNA-Seq experiments 119
zjufanlab/sccatch Automated tool for annotating cell types from single-cell RNA sequencing data based on marker genes 219
rglab/mast Provides tools and methods for analyzing single-cell RNA sequencing data using statistical models 228
marcelosua/spotlight Software tool for deconvoluting mixtures of cells from single-cell transcriptomes using non-negative matrix factorization 164