Integration of transcriptomic data identifies key hallmark genes in hypertrophic cardiomyopathy.

ABSTRACT:

Background

Hypertrophic cardiomyopathy (HCM) represents one of the most common inherited heart diseases. To identify key molecules involved in the development of HCM, gene expression patterns of the heart tissue samples in HCM patients from multiple microarray and RNA-seq platforms were investigated.

Methods

The significant genes were obtained through the intersection of two gene sets, corresponding to the identified differentially expressed genes (DEGs) within the microarray data and within the RNA-Seq data. Those genes were further ranked using minimum-Redundancy Maximum-Relevance feature selection algorithm. Moreover, the genes were assessed by three different machine learning methods for classification, including support vector machines, random forest and k-Nearest Neigh

SUBMITTER: Xu J 

PROVIDER: S-EPMC8259117 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature