Nonnegative singular value decomposition for microarray data analysis of spermatogenesis

Matrix factorization plays an important role in scientific computation. The widely used one is singular value decomposition (SVD) which approximates the original data matrix with three lower rank matrices with orthogonality constraints. Recently nonnegative matrix factorization (NMF) considering the...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Weixiang Liu, Aifa Tang, Datian Ye, Zhen Ji
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Biomedical computing Biomedical engineering Data analysis Data engineering Gene expression Information technology Matrix decomposition Pattern analysis Singular value decomposition Sorting
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!