Literature DB >> 24849579

MaxLink: network-based prioritization of genes tightly linked to a disease seed set.

Dimitri Guala1, Erik Sjölund1, Erik L L Sonnhammer2.   

Abstract

UNLABELLED: MaxLink, a guilt-by-association network search algorithm, has been made available as a web resource and a stand-alone version. Based on a user-supplied list of query genes, MaxLink identifies and ranks genes that are tightly linked to the query list. This functionality can be used to predict potential disease genes from an initial set of genes with known association to a disease. The original algorithm, used to identify and rank novel genes potentially involved in cancer, has been updated to use a more statistically sound method for selection of candidate genes and made applicable to other areas than cancer. The algorithm has also been made faster by re-implementation in C++, and the Web site uses FunCoup 3.0 as the underlying network.
AVAILABILITY AND IMPLEMENTATION: MaxLink is freely available at http://maxlink.sbc.su.se both as a web service and a stand-alone application for download.
© The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

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Mesh:

Year:  2014        PMID: 24849579     DOI: 10.1093/bioinformatics/btu344

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  12 in total

1.  A rectified factor network based biclustering method for detecting cancer-related coding genes and miRNAs, and their interactions.

Authors:  Lingtao Su; Guixia Liu; Juexin Wang; Dong Xu
Journal:  Methods       Date:  2019-05-21       Impact factor: 3.608

2.  A network-based method for predicting disease-associated enhancers.

Authors:  Duc-Hau Le
Journal:  PLoS One       Date:  2021-12-08       Impact factor: 3.240

3.  FunCoup 4: new species, data, and visualization.

Authors:  Christoph Ogris; Dimitri Guala; Erik L L Sonnhammer
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

4.  A large-scale benchmark of gene prioritization methods.

Authors:  Dimitri Guala; Erik L L Sonnhammer
Journal:  Sci Rep       Date:  2017-04-21       Impact factor: 4.379

5.  GenePANDA-a novel network-based gene prioritizing tool for complex diseases.

Authors:  Tianshu Yin; Shu Chen; Xiaohui Wu; Weidong Tian
Journal:  Sci Rep       Date:  2017-03-02       Impact factor: 4.379

6.  HumanNet v2: human gene networks for disease research.

Authors:  Sohyun Hwang; Chan Yeong Kim; Sunmo Yang; Eiru Kim; Traver Hart; Edward M Marcotte; Insuk Lee
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

7.  Versatile knowledge guided network inference method for prioritizing key regulatory factors in multi-omics data.

Authors:  Christoph Ogris; Yue Hu; Janine Arloth; Nikola S Müller
Journal:  Sci Rep       Date:  2021-03-24       Impact factor: 4.379

8.  PRYNT: a tool for prioritization of disease candidates from proteomics data using a combination of shortest-path and random walk algorithms.

Authors:  Franck Boizard; Bénédicte Buffin-Meyer; Joost P Schanstra; Julie Klein; Julien Aligon; Olivier Teste
Journal:  Sci Rep       Date:  2021-03-11       Impact factor: 4.379

9.  DGLinker: flexible knowledge-graph prediction of disease-gene associations.

Authors:  Jiajing Hu; Rosalba Lepore; Richard J B Dobson; Ammar Al-Chalabi; Daniel M Bean; Alfredo Iacoangeli
Journal:  Nucleic Acids Res       Date:  2021-07-02       Impact factor: 16.971

Review 10.  A Survey of Gene Prioritization Tools for Mendelian and Complex Human Diseases.

Authors:  Olga Zolotareva; Maren Kleine
Journal:  J Integr Bioinform       Date:  2019-09-09
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