title: Cardiovascular genomics: a biomarker identification pipeline.
abstract: Genomic biomarkers are essential for understanding the underlying molecular basis of human diseases such as cardiovascular disease. In this review, we describe a biomarker identification pipeline for cardiovascular disease, which includes 1) high-throughput genomic data acquisition, 2) preprocessing and normalization of data, 3) exploratory analysis, 4) feature selection, 5) classification, and 6) interpretation and validation of candidate biomarkers. We review each step in the pipeline, presenting current and widely used bioinformatics methods. Furthermore, we analyze several publicly available cardiovascular genomics datasets to illustrate the pipeline. Finally, we summarize the current challenges and opportunities for further research.
authors.affiliation: Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USA. jhphan@gatech.edu
authors.forename: John H
authors.initials: JH
authors.lastname: Phan
authors.forename: Chang F
authors.initials: CF
authors.lastname: Quo
authors.forename: May Dongmei
authors.initials: MD
authors.lastname: Wang
mesh_terms: D015415:Biomarkers / Q000032:analysis; D002318:Cardiovascular Diseases / Q000235:genetics* / Q000378:metabolism; D016000:Cluster Analysis; D020869:Gene Expression Profiling; D023281:Genomics / Q000379:methods*; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis
chemical_list: D015415:Biomarkers