Peter Carbonetto. Author, maintainer.
Kevin Luo. Author.
Kushal Dey. Author.
Joyce Hsiao. Contributor.
Abhishek Sarkar. Contributor.
Anthony Hung. Contributor.
Xihui Lin. Contributor.
Paul C. Boutros. Contributor.
Minzhe Wang. Contributor.
Tracy Ke. Contributor.
Eric Weine. Contributor.
Matthew Stephens. Author.
inst/CITATION
Kushal K. Dey, Chiaowen Joyce Hsiao and Matthew Stephens (2017). Visualizing the structure of RNA-seq expression data using grade of membership models. PLoS Genetics 13(3), e1006599, doi:10.1371/journal.pgen.1006599
@Article{, title = {Visualizing the structure of RNA-seq expression data using grade of membership models}, author = {{Kushal K. Dey} and {Chiaowen Joyce Hsiao} and {Matthew Stephens}}, journal = {PLoS Genetics}, volume = {13}, number = {3}, pages = {e1006599}, year = {2017}, url = {https://doi.org/10.1371/journal.pgen.1006599}, }
Peter Carbonetto, Abhishek Sarkar, Zihao Wang and Matthew Stephens (2021). Non-negative matrix factorization algorithms greatly improve topic model fits. arXiv 2105.13440.
@Article{, title = {Non-negative matrix factorization algorithms greatly improve topic model fits}, author = {{Peter Carbonetto} and {Abhishek Sarkar} and {Zihao Wang} and {Matthew Stephens}}, journal = {arXiv}, volume = {2105.13440}, eprint = {2105.13440}, year = {2021}, archiveprefix = {arXiv}, url = {https://arxiv.org/abs/2105.13440}, }
Peter Carbonetto, Kaixuan Luo, Abhishek Sarkar, Anthony Hung, Karl Tayeb, Sebastian Pott and Matthew Stephens. GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership. Genome Biology 24: 236 (2023). https://doi.org/10.1186/s13059-023-03067-9
@Article{, title = {Interpreting structure in sequence count data with differential expression analysis allowing for grades of membership}, author = {{Peter Carbonetto} and {Kaixuan Luo} and {Abhishek Sarkar} and {Anthony Hung} and {Karl Tayeb} and {Sebastian Pott} and {Matthew Stephens}}, journal = {Genome Biology}, doi = {10.1186/s13059-023-03067-9}, volume = {24}, pages = {236}, year = {2023}, }