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Predicting phenotypes from microarrays using amplified, initially marginal, eigenvector regression
MOTIVATION: The discovery of relationships between gene expression measurements and phenotypic responses is hampered by both computational and statistical impediments. Conventional statistical methods are less than ideal because they either fail to select relevant genes, predict poorly, ignore the u...
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| Pubblicato in: | Bioinformatics |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5870707/ https://ncbi.nlm.nih.gov/pubmed/28881997 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx265 |
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