Literature DB >> 27812943

Gene-Category Analysis.

Sebastian Bauer1.   

Abstract

Gene-category analysis is one important knowledge integration approach in biomedical sciences that combines knowledge bases such as Gene Ontology with lists of genes or their products, which are often the result of high-throughput experiments, gained from either wet-lab or synthetic experiments. In this chapter, we will motivate this class of analyses and describe an often used variant that is based on Fisher's exact test. We show that this approach has some problems in the context of Gene Ontology of which users should be aware. We then describe some more recent algorithms that try to address some of the shortcomings of the standard approach.

Keywords:  Enrichment; Fisher’s exact text; Gene propagation problem; Knowledge integration; Overrepresentation

Mesh:

Year:  2017        PMID: 27812943     DOI: 10.1007/978-1-4939-3743-1_13

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


  5 in total

1.  Exploring automatic inconsistency detection for literature-based gene ontology annotation.

Authors:  Jiyu Chen; Benjamin Goudey; Justin Zobel; Nicholas Geard; Karin Verspoor
Journal:  Bioinformatics       Date:  2022-06-24       Impact factor: 6.931

Review 2.  Beyond standard pipeline and p < 0.05 in pathway enrichment analyses.

Authors:  Wentian Li; Andrew Shih; Yun Freudenberg-Hua; Wen Fury; Yaning Yang
Journal:  Comput Biol Chem       Date:  2021-02-12       Impact factor: 3.737

3.  PLAZA 5.0: extending the scope and power of comparative and functional genomics in plants.

Authors:  Michiel Van Bel; Francesca Silvestri; Eric M Weitz; Lukasz Kreft; Alexander Botzki; Frederik Coppens; Klaas Vandepoele
Journal:  Nucleic Acids Res       Date:  2022-01-07       Impact factor: 16.971

4.  Urgent need for consistent standards in functional enrichment analysis.

Authors:  Kaumadi Wijesooriya; Sameer A Jadaan; Kaushalya L Perera; Tanuveer Kaur; Mark Ziemann
Journal:  PLoS Comput Biol       Date:  2022-03-09       Impact factor: 4.475

5.  The OMA orthology database in 2018: retrieving evolutionary relationships among all domains of life through richer web and programmatic interfaces.

Authors:  Adrian M Altenhoff; Natasha M Glover; Clément-Marie Train; Klara Kaleb; Alex Warwick Vesztrocy; David Dylus; Tarcisio M de Farias; Karina Zile; Charles Stevenson; Jiao Long; Henning Redestig; Gaston H Gonnet; Christophe Dessimoz
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.