Treffer: Inferring cellular and molecular processes in single-cell data with non-negative matrix factorization using Python, R and GenePattern Notebook implementations of CoGAPS
Title:
Inferring cellular and molecular processes in single-cell data with non-negative matrix factorization using Python, R and GenePattern Notebook implementations of CoGAPS
Authors:
Johnson, Jeanette A. I.Aff1, Aff2, Tsang, Ashley P., Mitchell, Jacob T.Aff2, Aff4, Zhou, David L., Bowden, JuliaAff1, Aff2, Davis-Marcisak, EmilyAff2, Aff4, Sherman, Thomas, Liefeld, Ted, Loth, MelanieAff1, Aff2, Goff, Loyal A.Aff3, Aff5, Aff7, Aff8, Zimmerman, Jacquelyn W.Aff1, Aff2, Kinny-Köster, Ben, Jaffee, Elizabeth M.Aff1, Aff2, Tamayo, Pablo, Mesirov, Jill P., Reich, Michael, Fertig, Elana J.Aff1, Aff2, Aff3, Aff8, Aff10, IDs4159602300892x_cor17, Stein-O’Brien, Genevieve L.Aff1, Aff2, Aff3, Aff5, Aff7, Aff8, IDs4159602300892x_cor18
Source:
Nature Protocols: Recipes for Researchers. 18(12):3690-3731
Database:
Springer Nature Journals