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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Detalles Bibliográficos
Autores principales: Ding, Lei, McDonald, Daniel J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
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
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870707/
https://www.ncbi.nlm.nih.gov/pubmed/28881997
http://dx.doi.org/10.1093/bioinformatics/btx265

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870707/
https://www.ncbi.nlm.nih.gov/pubmed/28881997
http://dx.doi.org/10.1093/bioinformatics/btx265

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