Tensor decomposition-based and principal-component-analysis-based unsupervised feature extraction applied to the gene expression and methylation profiles in the brains of social insects with multiple castes

Tensor decomposition-based and principal-component-analysis-based unsupervised feature extraction applied to the gene expression and methylation profiles in the brains of social insects with multiple castes

Abstract Background Even though coexistence of multiple phenotypes sharing the same genomic background is interesting, it remains incompletely understood. Epigenomic profiles may represent key factors, with unknown contributions to the development of multiple phenotypes, and social-insect castes are...

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Bibliographic Details
Main Author: Y.-H. Taguchi
Format: Article
Language:English
Published: BMC 2018-05-01
Series:BMC Bioinformatics
Subjects:
Tensor decomposition
Principal component analysis
Feature extraction
Gene expression
Methylation
Social insect
Online Access:http://link.springer.com/article/10.1186/s12859-018-2068-7

Internet

http://link.springer.com/article/10.1186/s12859-018-2068-7

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