README.md

In mathewchamberlain/SignacX: Cell Type Identification and Discovery from Single Cell Gene Expression Data

SignacX 2.2.4

Get the most out of your single cell data. Explore the Website » View Demo · View Code Base · Request Feature

What is SignacX?

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)

Contact

Mathew Chamberlain - [e-mail]

SignacX version history

SignacX 2.2.4 (2021-07-20)

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.

SignacX 2.2.3 (2021-07-16)

Fixed a typo in the help section for SignacX::MASC.

SignacX 2.2.2

Addressed issues in the GitHub repository: Labeling of individual cell states corresponding to broad cell types.

SignacX 2.2.1

Addressed issues in the GitHub repository: Integration with Seurat 4.0.0 clustering

SignacX 2.2.0 (2021-02-24)

First CRAN release.

mathewchamberlain/SignacX documentation built on March 3, 2023, 2:46 a.m.