UINMF performs mosaic integration of single-cell multi-omic datasets using nonnegative matrix factorization
Single-cell genomic technologies present unique data integration challenges. Here the authors introduce an integrative nonnegative matrix factorization algorithm that incorporates features unshared between datasets when performing dataset integrations, improving integration results for spatial trans...
Main Authors: | April R. Kriebel, Joshua D. Welch |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-02-01
|
Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-022-28431-4 |
Similar Items
-
A Review on Initialization Methods for Nonnegative Matrix Factorization: Towards Omics Data Experiments
by: Flavia Esposito
Published: (2021-04-01) -
On Rationality of Nonnegative Matrix Factorization
by: Chistikov, D, et al.
Published: (2017) -
On restricted nonnegative matrix factorization
by: Kiefer, S, et al.
Published: (2016) -
On restricted nonnegative matrix factorization
by: Kiefer, S, et al.
Published: (2016) -
Nonnegativity problems for matrix semigroups
by: D'Costa, J, et al.
Published: (2024)