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- W2126189909 abstract "Query-based biclustering can be used to explore public gene expression data for genes coexpressed with genes of interest to a certain researcher (the query). These methods, however, fail when faced with a list of query-genes with diverse expression profiles. In addition, a threshold on the minimal coexpression with the query-genes needs to be defined in advance. To deal with these problems we introduce an ensemble approach for query-based biclustering. The method relies on a specifically designed consensus matrix in which the biclustering outcomes for multiple query-genes and for different possible coexpression thresholds are merged in a statistically robust way. Graph clustering is used to obtain non-redundant consensus biclusters from this matrix. We tested out different ensemble construction schemes and illustrate the effectiveness of this approach." @default.
- W2126189909 created "2016-06-24" @default.
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- W2126189909 creator A5044805939 @default.
- W2126189909 date "2010-12-01" @default.
- W2126189909 modified "2023-09-26" @default.
- W2126189909 title "An ensemble method for querying gene expression compendia with experimental lists" @default.
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- W2126189909 doi "https://doi.org/10.1109/bibm.2010.5706583" @default.
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