Partitioning of functional gene expression data using principal points

Partitioning of functional gene expression data using principal points

Abstract Background DNA microarrays offer motivation and hope for the simultaneous study of variations in multiple genes. Gene expression is a temporal process that allows variations in expression levels with a characterized gene function over a period of time. Temporal gene expression curves can be...

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Bibliographic Details
Main Authors: Jaehee Kim, Haseong Kim
Format: Article
Language:English
Published: BMC 2017-10-01
Series:BMC Bioinformatics
Subjects:
Fourier coefficients
Legendre polynomials
Escherichia coli Microarray expression data
K-means clustering
Principal points
Silhouette
Online Access:http://link.springer.com/article/10.1186/s12859-017-1860-0

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http://link.springer.com/article/10.1186/s12859-017-1860-0

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