Independent component analysis reveals new and biologically significant structures in micro array data |
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| Authors: | Attila Frigyesi Srinivas Veerla David Lindgren Mattias H?glund |
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| Affiliation: | (1) Department of Cardiology, University Hospital, SE-221-85Lund, Sweden;(2) Centre for Mathematical Sciences, Mathematical Statistics, Lund University, SE-223 62 Lund, Sweden;(3) Department of Clinical Genetics, Lund University Hospital, SE-221-85Lund, Sweden |
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| Abstract: | Background An alternative to standard approaches to uncover biologically meaningful structures in micro array data is to treat the data as a blind source separation (BSS) problem. BSS attempts to separate a mixture of signals into their different sources and refers to the problem of recovering signals from several observed linear mixtures. In the context of micro array data, "sources" may correspond to specific cellular responses or to co-regulated genes. |
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