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.
GCA: Gene Correlation Analysis for Single-cell RNA-seq data
seuratOnline
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...)
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
Comparison of dimensionality reduction methods
A reference-based solution for single-cell analysis
A web-based interactive (wizard style) application to perform a guided single-cell RNA-seq data analysis and clustering based on Seurat v3
Code repository for single cell RNA-seq
Infer cell-cell communications based on feed-forward neural network
single-cell RNA sequencing imputation
SHARP: Single-cell RNA-seq Hyper-fast and Accurate processing via ensemble Random Projection
HMM-integrated Bayesian approach for detecting CNV and LOH events from single-cell RNA-seq data
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