Nonparametric methods for molecular biology.

Methods in Molecular Biology
Knut M Wittkowski, Tingting Song

Abstract

In 2003, the completion of the Human Genome Project (1) together with advances in computational resources (2) were expected to launch an era where the genetic and genomic contributions to many common diseases would be found. In the years following, however, researchers became increasingly frustrated as most reported 'findings' could not be replicated in independent studies (3). To improve the signal/noise ratio, it was suggested to increase the number of cases to be included to tens of thousands (4), a requirement that would dramatically restrict the scope of personalized medicine. Similarly, there was little success in elucidating the gene-gene interactions involved in complex diseases or even in developing criteria for assessing their phenotypes. As a partial solution to these enigmata, we here introduce a class of statistical methods as the 'missing link' between advances in genetics and informatics. As a first step, we provide a unifying view of a plethora of nonparametric tests developed mainly in the 1940s, all of which can be expressed as u-statistics. Then, we will extend this approach to reflect categorical and ordinal relationships between variables, resulting in a flexible and powerful approach to deal with the impac...Continue Reading

Citations

Feb 5, 2013·BMC Bioinformatics·Arkadiusz GladkiPiotr Zielenkiewicz
Mar 23, 2018·The Journal of Heredity·Euan R O AllanMichael S Blouin
Jun 9, 2020·Emerging Infectious Diseases·Geun Woo ParkJan Vinjé
Jul 16, 2021·The Journal of Allergy and Clinical Immunology. in Practice·Elizabeth A ErwinOctavio Ramilo

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