Coarse-graining of large single-cell RNA-seq data into metacells
-
Updated
Aug 29, 2024 - R
Coarse-graining of large single-cell RNA-seq data into metacells
Single cell transcriptomic data from Tasic, et al. (2016)
V-SVA: An R Shiny application for detecting and annotating hidden sources of variation in single cell RNA-seq data
ScRNA-seq Analysis Copilot serves as an interactive agent to learn single cell sequencing, answering questions and helping new learners to practice analysis.
V-SVA: An R Shiny application for detecting and annotating hidden sources of variation in single cell RNA-seq data
Large-scale Benchmarking of Single-cell Differential Expression Analysis Methods
scRNA-seq datasets to support Jung et al, Sci Adv, 7(6): eabe5735, 2021. DOI: 10.1126/sciadv.abe5735
ClustVarSelect: R package for Robust Feature Selection for Single-Cell RNA Sequencing Data
Add a description, image, and links to the scrna-seq-data topic page so that developers can more easily learn about it.
To associate your repository with the scrna-seq-data topic, visit your repo's landing page and select "manage topics."