Stadlthanner, Kurt, Theis, Fabian J., Tomé, A. M., Puntonet, Carlos G., Górriz, J. M. and Lang, Elmar (2008) Hybridizing sparse component analysis with genetic algorithms for microarray analysis. Neurocomputing 71 (10-12), pp. 2356-2376.
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Abstract
Nonnegative matrix factorization (NMF) has proven to be a useful tool for the previous termanalysisnext term of nonnegative multivariate data. However, it is known not to lead to unique results when applied to blind source separation (BSS) problems. In this paper we present an extension of NMF capable of solving the BSS problem when the underlying sources are sufficiently previous ...
Export bibliographical data
| Item type: | Article | ||||
|---|---|---|---|---|---|
| Date: | 2008 | ||||
| Institutions: | Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang | ||||
| Identification Number: |
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| Dewey Decimal Classification: | 500 Science > 570 Life sciences | ||||
| Status: | Published | ||||
| Refereed: | Unknown | ||||
| Created at the University of Regensburg: | Unknown | ||||
| Item ID: | 16909 |
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