Predicting cancer involvement of genes from heterogeneous data |
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| Authors: | Ramon Aragues Chris Sander Baldo Oliva |
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| Institution: | (1) Structural Bioinformatics Lab. (GRIB), Universitat Pompeu Fabra-IMIM, Barcelona Research Park of Biomedicine (PRBB), 08003 Barcelona, Catalonia, Spain;(2) Computational Biology Center, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, Box 460, New York, NY 10065, USA |
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| Abstract: | Background Systematic approaches for identifying proteins involved in different types of cancer are needed. Experimental techniques such
as microarrays are being used to characterize cancer, but validating their results can be a laborious task. Computational
approaches are used to prioritize between genes putatively involved in cancer, usually based on further analyzing experimental
data. |
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