scDHA - Single-Cell Decomposition using Hierarchical Autoencoder
Provides a fast and accurate pipeline for single-cell analyses. The 'scDHA' software package can perform clustering, dimension reduction and visualization, classification, and time-trajectory inference on single-cell data (Tran et.al. (2021) <DOI:10.1038/s41467-021-21312-2>).
Last updated 11 months ago
cpp
6.38 score 40 stars 2 dependents 20 scripts 282 downloadsRCPA - Consensus Pathway Analysis
Provides a set of functions to perform pathway analysis and meta-analysis from multiple gene expression datasets, as well as visualization of the results. This package wraps functionality from the following packages: Ritchie et al. (2015) <doi:10.1093/nar/gkv007>, Love et al. (2014) <doi:10.1186/s13059-014-0550-8>, Robinson et al. (2010) <doi:10.1093/bioinformatics/btp616>, Korotkevich et al. (2016) <arxiv:10.1101/060012>, Efron et al. (2015) <https://CRAN.R-project.org/package=GSA>, and Gu et al. (2012) <https://CRAN.R-project.org/package=CePa>.
Last updated 4 months ago
biobasedeseq2geoqueryedgerlimmarcyjsfgseabrowservizsummarizedexperimentannotationdbirontotools
5.50 score 1 stars 70 scripts 718 downloads