Literature DB >> 29029016

diffuStats: an R package to compute diffusion-based scores on biological networks.

Sergio Picart-Armada1,2, Wesley K Thompson3,4, Alfonso Buil3, Alexandre Perera-Lluna1,2.   

Abstract

Summary: Label propagation and diffusion over biological networks are a common mathematical formalism in computational biology for giving context to molecular entities and prioritizing novel candidates in the area of study. There are several choices in conceiving the diffusion process-involving the graph kernel, the score definitions and the presence of a posterior statistical normalization-which have an impact on the results. This manuscript describes diffuStats, an R package that provides a collection of graph kernels and diffusion scores, as well as a parallel permutation analysis for the normalized scores, that eases the computation of the scores and their benchmarking for an optimal choice. Availability and implementation: The R package diffuStats is publicly available in Bioconductor, https://bioconductor.org, under the GPL-3 license. Contact: sergi.picart@upc.edu. Supplementary information: Supplementary data are available at Bioinformatics online.
© The Author (2017). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Mesh:

Year:  2018        PMID: 29029016      PMCID: PMC5860365          DOI: 10.1093/bioinformatics/btx632

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


  6 in total

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2.  Fast protein classification with multiple networks.

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3.  RANKS: a flexible tool for node label ranking and classification in biological networks.

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Journal:  Bioinformatics       Date:  2016-06-02       Impact factor: 6.937

4.  Prioritizing candidate disease genes by network-based boosting of genome-wide association data.

Authors:  Insuk Lee; U Martin Blom; Peggy I Wang; Jung Eun Shim; Edward M Marcotte
Journal:  Genome Res       Date:  2011-05-02       Impact factor: 9.043

5.  Network diffusion-based analysis of high-throughput data for the detection of differentially enriched modules.

Authors:  Matteo Bersanelli; Ettore Mosca; Daniel Remondini; Gastone Castellani; Luciano Milanesi
Journal:  Sci Rep       Date:  2016-10-12       Impact factor: 4.379

6.  GeneMANIA: a real-time multiple association network integration algorithm for predicting gene function.

Authors:  Sara Mostafavi; Debajyoti Ray; David Warde-Farley; Chris Grouios; Quaid Morris
Journal:  Genome Biol       Date:  2008-06-27       Impact factor: 13.583

  6 in total
  12 in total

1.  Differential Network Analysis Reveals Regulatory Patterns in Neural Stem Cell Fate Decision.

Authors:  Jiang Xie; Yiting Yin; Fuzhang Yang; Jiamin Sun; Jiao Wang
Journal:  Interdiscip Sci       Date:  2021-01-13       Impact factor: 2.233

2.  The effect of statistical normalization on network propagation scores.

Authors:  Sergio Picart-Armada; Wesley K Thompson; Alfonso Buil; Alexandre Perera-Lluna
Journal:  Bioinformatics       Date:  2021-05-05       Impact factor: 6.937

Review 3.  Genetics and Omics Analysis of Autoimmune Skin Blistering Diseases.

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Journal:  Sci Rep       Date:  2020-02-27       Impact factor: 4.379

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Authors:  Robert Stretch; Armand Ryden; Constance H Fung; Joanne Martires; Stephen Liu; Vidhya Balasubramanian; Babak Saedi; Dennis Hwang; Jennifer L Martin; Nicolás Della Penna; Michelle R Zeidler
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6.  Data Processing and Analysis in Mass Spectrometry-Based Metabolomics.

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7.  Propagating annotations of molecular networks using in silico fragmentation.

Authors:  Ricardo R da Silva; Mingxun Wang; Louis-Félix Nothias; Justin J J van der Hooft; Andrés Mauricio Caraballo-Rodríguez; Evan Fox; Marcy J Balunas; Jonathan L Klassen; Norberto Peporine Lopes; Pieter C Dorrestein
Journal:  PLoS Comput Biol       Date:  2018-04-18       Impact factor: 4.475

8.  Predicting clinical outcome of neuroblastoma patients using an integrative network-based approach.

Authors:  Léon-Charles Tranchevent; Petr V Nazarov; Tony Kaoma; Georges P Schmartz; Arnaud Muller; Sang-Yoon Kim; Jagath C Rajapakse; Francisco Azuaje
Journal:  Biol Direct       Date:  2018-06-07       Impact factor: 4.540

9.  Benchmarking network propagation methods for disease gene identification.

Authors:  Sergio Picart-Armada; Steven J Barrett; David R Willé; Alexandre Perera-Lluna; Alex Gutteridge; Benoit H Dessailly
Journal:  PLoS Comput Biol       Date:  2019-09-03       Impact factor: 4.475

10.  MultiPaths: a python framework for analyzing multi-layer biological networks using diffusion algorithms.

Authors:  Josep Marín-Llaó; Sarah Mubeen; Alexandre Perera-Lluna; Martin Hofmann-Apitius; Sergio Picart-Armada; Daniel Domingo-Fernández
Journal:  Bioinformatics       Date:  2020-12-26       Impact factor: 6.937

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