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Semi-supervised gene shaving method for predicting low variation biological pathways from genome-wide data
BACKGROUND: The gene shaving algorithm and many other clustering algorithms identify gene clusters showing high variation across samples. However, gene expression in many signaling pathways show only modest and concordant changes that fail to be identified by these methods. The increasingly availabl...
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| Formato: | Texto |
| Lenguaje: | English |
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BioMed Central
2009
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2648790/ https://www.ncbi.nlm.nih.gov/pubmed/19208157 http://dx.doi.org/10.1186/1471-2105-10-S1-S54 |