Get the most out of your single cell data.
Explore the Website »
View Demo
·
View Code Base
·
Request Feature
SignacX is software that classifies the cellular phenotype for each individual cell in single cell RNA-sequencing data using neural networks trained with sorted bulk gene expression data from the Human Primary Cell Atlas. To learn more, check out the pre-print, website and code base. You can install SignacX from CRAN by running:
install.packages("SignacX")
library(SignacX)Mathew Chamberlain - chamberlainphd@gmail.com
Enabled SignacX to classify datasets >300,000 cells -- fixed a memory allocation issue. First degree nearest KNN neighbors are now used for Shannon entropy calculation for datasets > 100,000 cells.
Fixed a typo in the help section for SignacX::MASC.
Addressed issues in the GitHub repository: Labeling of individual cell states corresponding to broad cell types.
Addressed issues in the GitHub repository: Integration with Seurat 4.0.0 clustering
First CRAN release.