GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership

GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership

Abstract Parts-based representations, such as non-negative matrix factorization and topic modeling, have been used to identify structure from single-cell sequencing data sets, in particular structure that is not as well captured by clustering or other dimensionality reduction methods. However, inter...

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Bibliographic Details
Main Authors: Peter Carbonetto, Kaixuan Luo, Abhishek Sarkar, Anthony Hung, Karl Tayeb, Sebastian Pott, Matthew Stephens
Format: Article
Language:English
Published: BMC 2023-10-01
Series:Genome Biology
Subjects:
Gene expression
Single-cell RNA-seq
Single-cell ATAC-seq
Differential expression analysis
Dimensionality reduction
Parts-based representations
Online Access:https://doi.org/10.1186/s13059-023-03067-9

Internet

https://doi.org/10.1186/s13059-023-03067-9

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