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Integrating gene set analysis and nonlinear predictive modeling of disease phenotypes using a Bayesian multitask formulation
BACKGROUND: Identifying molecular signatures of disease phenotypes is studied using two mainstream approaches: (i) Predictive modeling methods such as linear classification and regression algorithms are used to find signatures predictive of phenotypes from genomic data, which may not be robust due t...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5249028/ https://www.ncbi.nlm.nih.gov/pubmed/28105911 http://dx.doi.org/10.1186/s12859-016-1311-3 |