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Overview of frequent pattern mining
Various methods of frequent pattern mining have been applied to genetic problems, specifically, to the combined association of two genotypes (a genotype pattern, or diplotype) at different DNA variants with disease. These methods have the ability to come up with a selection of genotype patterns that...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korea Genome Organization
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9847378/ https://www.ncbi.nlm.nih.gov/pubmed/36617647 http://dx.doi.org/10.5808/gi.22074 |
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author | Ott, Jurg Park, Taesung |
author_facet | Ott, Jurg Park, Taesung |
author_sort | Ott, Jurg |
collection | PubMed |
description | Various methods of frequent pattern mining have been applied to genetic problems, specifically, to the combined association of two genotypes (a genotype pattern, or diplotype) at different DNA variants with disease. These methods have the ability to come up with a selection of genotype patterns that are more common in affected than unaffected individuals, and the assessment of statistical significance for these selected patterns poses some unique problems, which are briefly outlined here. |
format | Online Article Text |
id | pubmed-9847378 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Korea Genome Organization |
record_format | MEDLINE/PubMed |
spelling | pubmed-98473782023-01-31 Overview of frequent pattern mining Ott, Jurg Park, Taesung Genomics Inform Review Article Various methods of frequent pattern mining have been applied to genetic problems, specifically, to the combined association of two genotypes (a genotype pattern, or diplotype) at different DNA variants with disease. These methods have the ability to come up with a selection of genotype patterns that are more common in affected than unaffected individuals, and the assessment of statistical significance for these selected patterns poses some unique problems, which are briefly outlined here. Korea Genome Organization 2022-12-30 /pmc/articles/PMC9847378/ /pubmed/36617647 http://dx.doi.org/10.5808/gi.22074 Text en (c) 2022, Korea Genome Organization https://creativecommons.org/licenses/by/4.0/(CC) This is an open-access article distributed under the terms of the Creative Commons Attribution license(https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Ott, Jurg Park, Taesung Overview of frequent pattern mining |
title | Overview of frequent pattern mining |
title_full | Overview of frequent pattern mining |
title_fullStr | Overview of frequent pattern mining |
title_full_unstemmed | Overview of frequent pattern mining |
title_short | Overview of frequent pattern mining |
title_sort | overview of frequent pattern mining |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9847378/ https://www.ncbi.nlm.nih.gov/pubmed/36617647 http://dx.doi.org/10.5808/gi.22074 |
work_keys_str_mv | AT ottjurg overviewoffrequentpatternmining AT parktaesung overviewoffrequentpatternmining |