Applying Multivariate Adaptive Splines to Identify Genes With Expressions Varying After Diagnosis in Microarray Experiments.

ABSTRACT:

Purpose

To analyze a microarray experiment to identify the genes with expressions varying after the diagnosis of breast cancer.

Methods

A total of 44 928 probe sets in an Affymetrix microarray data publicly available on Gene Expression Omnibus from 249 patients with breast cancer were analyzed by the nonparametric multivariate adaptive splines. Then, the identified genes with turning points were grouped by K-means clustering, and their network relationship was subsequently analyzed by the Ingenuity Pathway Analysis.

Results

In total, 1640 probe sets (genes) were reliably identified to have turning points along with the age at diagnosis in their expression profiling, of which 927 expressed lower after turning points and 713 expressed higher after the turning points. K-

SUBMITTER: Duan F 

PROVIDER: S-EPMC5422340 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature