Bioconductor/R package CountClust: Clustering and Visualizing RNA-Seq Expression Data using Grade of Membership Models. Fits grade of membership models (GoM, also known as admixture models) to cluster RNA-seq gene expression count data, identifies characteristic genes driving cluster memberships, and provides a visual summary of the cluster memberships.
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References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Hien, Le Thi Khanh; Gillis, Nicolas: Algorithms for nonnegative matrix factorization with the Kullback-Leibler divergence (2021)
- Wang, Miaoyan; Fischer, Jonathan; Song, Yun S.: Three-way clustering of multi-tissue multi-individual gene expression data using semi-nonnegative tensor decomposition (2019)