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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Opis bibliograficzny
Wydane w:Bioinformatics
Główni autorzy: Ding, Lei, McDonald, Daniel J
Format: Artigo
Język:Inglês
Wydane: Oxford University Press 2017
Hasła przedmiotowe:
Ismb/Eccb 2017: The 25th Annual Conference Intelligent Systems for Molecular Biology Held Jointly with the 16th Annual European Conference on Computational Biology, Prague, Czech Republic, July 21–25, 2017
Dostęp 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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