Article

TuBA: Tunable Biclustering Algorithm Reveals Clinically Relevant Tumor Transcriptional Profiles in Breast Cancer

2018-01-25

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Traditional clustering approaches for gene expression data are not well adapted to address the complexity and heterogeneity of tumors, where small sets of genes may be aberrantly co-expressed in specific subsets of tumors. Biclustering algorithms that perform local clustering on subsets of genes and conditions help address this problem. We propose a graph-based Tunable Biclu...

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Literature Corpus work: 1859d380-c06f-54cd-bb81-579e76003a42
DOI: 10.1101/245712

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