PascalX: a Python library for GWAS gene and pathway enrichment tests
Author:
Affiliation:
1. Department of Computational Biology, University of Lausanne , Lausanne, Switzerland
2. Swiss Institute of Bioinformatics , Lausanne, Switzerland
3. Department of Integrative Biomedical Sciences, University of Cape Town , Cape Town, South Africa
Abstract
Funder
Swiss National Science Foundation
Publisher
Oxford University Press (OUP)
Subject
Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability
Link
https://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btad296/50195271/btad296.pdf
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3. MAGMA: generalized gene-set analysis of GWAS data;de Leeuw;PLoS Comput Biol,2015
4. The statistical properties of gene-set analysis;de Leeuw;Nat Rev Genet,2016
5. Algorithm as 204: the distribution of a positive linear combination of χ2 random variables;Farebrother;J R Stat Soc Ser C Appl Stat,1984
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