CoGAPS 3: Bayesian non-negative matrix factorization for single-cell analysis with asynchronous updates and sparse data structures

Single-Cell RNA-Seq Analysis of Retinal Development Identifies NFI Factors as Regulating Mitotic Exit and Late-Born Cell Specification

(2019) Brian S. Clark et al.   NEURON

Decomposing Cell Identity for Transfer Learning across Cellular Measurements, Platforms, Tissues, and Species

(2019) Genevieve L. Stein-O’Brien et al.   Cell Systems

Single-Cell Multi-omic Integration Compares and Contrasts Features of Brain Cell Identity

(2019) Joshua D. Welch et al.   CELL

Identifying gene expression programs of cell-type identity and cellular activity with single-cell RNA-Seq

(2019) Dylan Kotliar et al.   eLife

Integrative analysis of single-cell genomics data by coupled nonnegative matrix factorizations

(2018) Zhana Duren et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Enter the Matrix: Factorization Uncovers Knowledge from Omics

(2018) Genevieve L. Stein-O’Brien et al.   TRENDS IN GENETICS

Detecting heterogeneity in single-cell RNA-Seq data by non-negative matrix factorization

(2017) Xun Zhu et al.   PeerJ

CoGAPS: an R/C++ package to identify patterns and biological process activity in transcriptomic data

(2010) Elana J. Fertig et al.   BIOINFORMATICS