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Computing Molecular Signatures as Optima of a Bi-Objective Function: Method and Application to Prediction in Oncogenomics
BACKGROUND: Filter feature selection methods compute molecular signatures by selecting subsets of genes in the ranking of a valuation function. The motivations of the valuation functions choice are almost always clearly stated, but those for selecting the genes according to their ranking are hardly...
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| I publikationen: | Cancer Inform |
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| Huvudupphovsmän: | , , , , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Libertas Academica
2015
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4426938/ https://ncbi.nlm.nih.gov/pubmed/25983540 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4137/CIN.S21111 |
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