# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "fastTopics" in publications use:' type: software license: BSD-2-Clause title: 'fastTopics: Fast Algorithms for Fitting Topic Models and Non-Negative Matrix Factorizations to Count Data' version: 0.6-192 identifiers: - type: doi value: 10.32614/CRAN.package.fastTopics abstract: Implements fast, scalable optimization algorithms for fitting topic models ("grade of membership" models) and non-negative matrix factorizations to count data. The methods exploit the special relationship between the multinomial topic model (also, "probabilistic latent semantic indexing") and Poisson non-negative matrix factorization. The package provides tools to compare, annotate and visualize model fits, including functions to efficiently create "structure plots" and identify key features in topics. The 'fastTopics' package is a successor to the 'CountClust' package. For more information, see and . Please also see the GitHub repository for additional vignettes not included in the package on CRAN. authors: - family-names: Carbonetto given-names: Peter email: peter.carbonetto@gmail.com - family-names: Luo given-names: Kevin - family-names: Dey given-names: Kushal - family-names: Stephens given-names: Matthew preferred-citation: type: article title: Visualizing the structure of RNA-seq expression data using grade of membership models authors: - name: Kushal K. Dey - name: Chiaowen Joyce Hsiao - name: Matthew Stephens journal: PLoS Genetics volume: '13' issue: '3' year: '2017' url: https://doi.org/10.1371/journal.pgen.1006599 start: e1006599 repository: https://stephenslab.r-universe.dev repository-code: https://github.com/stephenslab/fastTopics commit: 0738d0a5d71e6795e85805c58aa342c3fb9e6bd9 url: https://stephenslab.github.io/fastTopics/ date-released: '2024-07-08' contact: - family-names: Carbonetto given-names: Peter email: peter.carbonetto@gmail.com references: - type: article title: Non-negative matrix factorization algorithms greatly improve topic model fits authors: - name: Peter Carbonetto - name: Abhishek Sarkar - name: Zihao Wang - name: Matthew Stephens journal: arXiv volume: '2105.13440' year: '2021' url: https://arxiv.org/abs/2105.13440 - type: article title: Interpreting structure in sequence count data with differential expression analysis allowing for grades of membership authors: - name: Peter Carbonetto - name: Kaixuan Luo - name: Abhishek Sarkar - name: Anthony Hung - name: Karl Tayeb - name: Sebastian Pott - name: Matthew Stephens journal: Genome Biology doi: 10.1186/s13059-023-03067-9 volume: '24' year: '2023' start: '236'