Literature DB >> 30030805

Multiple Testing Tool to Detect Combinatorial Effects in Biology.

Aika Terada1,2, Koji Tsuda3,4,5.   

Abstract

Detecting combinatorial effects is important to various research areas, including biology, genomics, and medical sciences. However, this task was not only computationally nontrivial but also extremely difficult to achieve because of the necessity of a multiple testing procedure; hence few methods can comprehensively analyze high-order combinations. Recently, Limitless Arity Multiple-testing Procedure (LAMP) was introduced, allowing us to enumerate statistically significant combinations from a given dataset. This chapter provides instructions for LAMP using simple examples of combinatorial transcription factor regulation discovery and visualization of the results. This chapter also introduces LAMPLINK, which is extended software of LAMP. LAMPLINK can handle genetic dataset to detect statistically significant interactions among multiple SNPs from a genome-wide association study (GWAS) dataset.

Keywords:  Epistasis; GWAS; LAMP; Multiple testing correction; Statistically significant combination; Transcription factors

Mesh:

Year:  2018        PMID: 30030805     DOI: 10.1007/978-1-4939-8561-6_7

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  1 in total

1.  A predictive model for assessing prognostic risks in gastric cancer patients using gene expression and methylation data.

Authors:  Dan Luo; QingLing Yang; HaiBo Wang; Mao Tan; YanLei Zou; Jian Liu
Journal:  BMC Med Genomics       Date:  2021-01-06       Impact factor: 3.063

  1 in total

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