TY - GEN
T1 - Sparse robust matrix tri-factorization with application to cancer genomics
AU - Kim, Seung Jun
AU - Hwang, Tae Hyun
AU - Giannakis, Georgios B
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2012
Y1 - 2012
N2 - Nonnegative matrix tri-factorization (NMTF) X ≈ FSG T with all matrices nonnegative can reveal simultaneous row and column clusters of X, as well as the associations among the two. In this work, a sparsity-promoting variant is proposed and a simple multiplicative algorithm is developed. The resulting sparse NMTF is further robustified to cope with presence of outliers in the data. A synthetic example illustrates the efficacy of the method. A novel application to cancer patient clustering and pathway analysis is presented using real datasets.
AB - Nonnegative matrix tri-factorization (NMTF) X ≈ FSG T with all matrices nonnegative can reveal simultaneous row and column clusters of X, as well as the associations among the two. In this work, a sparsity-promoting variant is proposed and a simple multiplicative algorithm is developed. The resulting sparse NMTF is further robustified to cope with presence of outliers in the data. A synthetic example illustrates the efficacy of the method. A novel application to cancer patient clustering and pathway analysis is presented using real datasets.
UR - http://www.scopus.com/inward/record.url?scp=84864662892&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84864662892&partnerID=8YFLogxK
U2 - 10.1109/CIP.2012.6232906
DO - 10.1109/CIP.2012.6232906
M3 - Conference contribution
AN - SCOPUS:84864662892
SN - 9781467318785
T3 - 2012 3rd International Workshop on Cognitive Information Processing, CIP 2012
BT - 2012 3rd International Workshop on Cognitive Information Processing, CIP 2012
T2 - 2012 3rd International Workshop on Cognitive Information Processing, CIP 2012
Y2 - 28 May 2012 through 30 May 2012
ER -
