Package for analyzing batch effects in single cell RNA sequencing (scRNA-seq) analysis and predicting their impact on downstream analysis.
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Updated
Jul 31, 2017 - R
Package for analyzing batch effects in single cell RNA sequencing (scRNA-seq) analysis and predicting their impact on downstream analysis.
Analyzing batch effects in single cell RNA sequencing (scRNA-seq) analysis and predicting their impact on downstream analysis.
SINCERITIES is a tool for inferring gene regulatory networks from time-stamped cross-sectional single cell transcriptional expression profiles.
Code for analysis of single cell signaling network kinetics from flow cytometry (CyTOF) datasets
GCA: Gene Correlation Analysis for Single-cell RNA-seq data
Single cell trajectory detection
Dynamic models for single-cell RNA-seq time series.
seuratOnline
<<------ Use SnapATAC!!
Single cell differential variance analysis
A effort to collect all of the scRNA imputation methods and allow them to interface with scRNA-seq libraries (i. e. Seurat, SingleCellAssay, etc...)
pCMF R package
Conbase: a software for unsupervised discovery of clonal somatic mutations in single cells through read phasing
CALISTA: Clustering And Lineage Inference in Single Cell Transcriptional Analysis
This is a web-based interactive (wizard style) application to perform a guided single-cell RNA-seq data analysis and clustering based on Seurat.
R toolkit for the analysis of single-cell functional heterogeneity
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