FABIA is a biclustering algorithm that clusters rows and columns of a matrix simultaneously. Consequently, members of a row cluster are similar to each other on a subset of columns and, analogously, members of a column cluster are similar to each other on a subset of rows. Biclusters are found by factor analysis where both the factors and the loading matrix are sparse. FABIA is a multiplicative model that extracts linear dependencies between samples and feature patterns. FABIA is used to detect transcriptomic modules from gene expression data that is obtained from drugdesign studies.
Sprache der Kurzfassung:
Englisch
Erscheinungsmonat:
7
Erscheinungsjahr:
2012
Anzahl der Seiten:
1
Notiz zur Publikation:
Poster at 20th Annual Intern. Conference on Intelligent Systems for Molecular Biology (ISMB),