Article

Short Tandem Repeats Information in TCGA is Statistically Biased by Amplification

2019-01-11

Abstract excerpt

<h4>ABSTRACT</h4> The current paradigm in data science is based on the belief that given sufficient amounts of data, classifiers are likely to uncover the distinction between true and false hypotheses. In particular, the abundance of genomic data creates opportunities for discovering disease risk associations and help in screening and treatment. However, working with large amounts of data is statistically benefic...

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Literature Corpus work: c71da6b5-18d5-5098-a8cb-a6cdb31d8de0
DOI: 10.1101/518878

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