Open AccessInteractome–transcriptome integration for predicting distant metastasis in breast cancer
Author(s) -
M. Garcia,
Raphaelle Millat-Carus,
François Bertucci,
Pascal Finetti,
Daniel Birnbaum,
Ghislain Bidaut
Publication year - 2012
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bts025
Subject(s) - interactome , computer science , transcriptome , computational biology , breast cancer , data mining , bioinformatics , cancer , biology , gene , gene expression , genetics
High-throughput gene expression profiling yields genomic signatures that allow the prediction of clinical conditions including patient outcome. However, these signatures have limitations, such as dependency on the training set, and worse, lack of generalization.
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