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A novel variable selection method for classification with application to single nucleotide polymorphism data

2017-01-01

Abstract excerpt

Introduction and Aims: In recent years, there has been a growing interest in studying genetic data so as to answer specific medical questions; for example, indicative biomarkers that can accurately predict (classify) outcomes (e.g. healthy and disease or different categories of patients' response to treatment). In genome-wide data analysis, a typical procedure is to use a variable selection approach, often univari...

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Literature Corpus work
51eadb2a-37c6-5d2c-86bb-d8428520f19e
DOI
10.17638/03033721
Open publication

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A novel variable selection method for classification with application to single nucleotide polymorphism dataDOI 10.17638/03033721
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