Article

Object-Attribute Biclustering for Elimination of Missing Genotypes in Ischemic Stroke Genome-Wide Data

2020-10-23

Abstract excerpt

Missing genotypes can affect the efficacy of machine learning approaches to identify the risk genetic variants of common diseases and traits. The problem occurs when genotypic data are collected from different experiments with different DNA microarrays, each being characterised by its pattern of uncalled (missing) genotypes. This can prevent the machine learning classifier from assigning the classes correctly. To...

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Literature Corpus work: bc3d2a13-7e59-59e8-9924-03d6986995e0
DOI: 10.1101/2020.10.22.349910

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