HIPPO - Heterogeneity-Induced Pre-Processing tOol
For scRNA-seq data, it selects features and clusters the cells simultaneously for single-cell UMI data. It has a novel feature selection method using the zero inflation instead of gene variance, and computationally faster than other existing methods since it only relies on PCA+Kmeans rather than graph-clustering or consensus clustering.
Last updated 3 months ago
sequencingsinglecellgeneexpressiondifferentialexpressionclustering
6.16 score 18 stars 4 scripts 154 downloadsMMVBVS - Missing Multivariate Bayesian Variable Selection
A variable selection tool for multivariate normal variables with missing-at-random values using Bayesian Hierarchical Model. Visualization functions show the posterior distribution of gamma (inclusion variables) and beta (coefficients). Users can also visualize the heatmap of the posterior mean of covariance matrix. Kim, T. Nicolae, D. (2019)<https://github.com/tk382/MMVBVS/blob/master/workingpaper.pdf>. Guan, Y. Stephens, M. (2011)<doi:10.1214/11-AOAS455>.
Last updated 5 years ago
openblascpp
2.70 score 99 downloads