Literature DB >> 20007253

PCIT: an R package for weighted gene co-expression networks based on partial correlation and information theory approaches.

Nathan S Watson-Haigh1, Haja N Kadarmideen, Antonio Reverter.   

Abstract

SUMMARY: We make the PCIT algorithm, used for detecting meaningful gene-gene associations in co-expression networks, available as an R package. Automatic detection of a suitable parallel environment is used such that scripts are portable between parallel and non-parallel environments with no modification of the script.
AVAILABILITY AND IMPLEMENTATION: Source code and binaries freely available (under GPL-3) for download via CRAN at http://cran.r-project.org/package=PCIT, implemented in R and supported on Linux and MS Windows.

Mesh:

Year:  2009        PMID: 20007253     DOI: 10.1093/bioinformatics/btp674

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


  32 in total

1.  Integrated Analysis of Proteomic and Transcriptomic Data Highlights Late Fetal Muscle Maturation Process.

Authors:  Valentin Voillet; Magali San Cristobal; Marie-Christine Père; Yvon Billon; Laurianne Canario; Laurence Liaubet; Louis Lefaucheur
Journal:  Mol Cell Proteomics       Date:  2018-01-08       Impact factor: 5.911

2.  ppcor: An R Package for a Fast Calculation to Semi-partial Correlation Coefficients.

Authors:  Seongho Kim
Journal:  Commun Stat Appl Methods       Date:  2015-11-30

3.  Genome-wide patterns of promoter sharing and co-expression in bovine skeletal muscle.

Authors:  Quan Gu; Shivashankar H Nagaraj; Nicholas J Hudson; Brian P Dalrymple; Antonio Reverter
Journal:  BMC Genomics       Date:  2011-01-12       Impact factor: 3.969

4.  Gene Co-expression Network Analysis and Linking Modules to Phenotyping Response in Plants.

Authors:  Qian Du; Malachy T Campbell; Huihui Yu; Kan Liu; Harkamal Walia; Qi Zhang; Chi Zhang
Journal:  Methods Mol Biol       Date:  2022

5.  Transcriptome Profile Reveals Genetic and Metabolic Mechanisms Related to Essential Fatty Acid Content of Intramuscular Longissimus thoracis in Nellore Cattle.

Authors:  Gustavo Pimenta Schettini; Elisa Peripolli; Pâmela Almeida Alexandre; Wellington Bizarria Dos Santos; Angélica Simone Cravo Pereira; Lúcia Galvão de Albuquerque; Fernando Baldi; Rogério Abdallah Curi
Journal:  Metabolites       Date:  2022-05-23

6.  An intersection network based on combining SNP coassociation and RNA coexpression networks for feed utilization traits in Japanese Black cattle.

Authors:  Daigo Okada; Satoko Endo; Hirokazu Matsuda; Shinichiro Ogawa; Yukio Taniguchi; Tomohiro Katsuta; Toshio Watanabe; Hiroaki Iwaisaki
Journal:  J Anim Sci       Date:  2018-06-29       Impact factor: 3.159

7.  A Targeted Metabolomics-Based Assay Using Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes Identifies Structural and Functional Cardiotoxicity Potential.

Authors:  Jessica A Palmer; Alan M Smith; Vitalina Gryshkova; Elizabeth L R Donley; Jean-Pierre Valentin; Robert E Burrier
Journal:  Toxicol Sci       Date:  2020-04-01       Impact factor: 4.849

8.  An Always Correlated gene expression landscape for ovine skeletal muscle, lessons learnt from comparison with an "equivalent" bovine landscape.

Authors:  Wei Sun; Nicholas J Hudson; Antonio Reverter; Ashley J Waardenberg; Ross L Tellam; Tony Vuocolo; Keren Byrne; Brian P Dalrymple
Journal:  BMC Res Notes       Date:  2012-11-13

9.  Building gene co-expression networks using transcriptomics data for systems biology investigations: Comparison of methods using microarray data.

Authors:  Haja N Kadarmideen; Nathan S Watson-Haigh
Journal:  Bioinformation       Date:  2012-09-21

10.  Revealing Pathway Dynamics in Heart Diseases by Analyzing Multiple Differential Networks.

Authors:  Xiaoke Ma; Long Gao; Georgios Karamanlidis; Peng Gao; Chi Fung Lee; Lorena Garcia-Menendez; Rong Tian; Kai Tan
Journal:  PLoS Comput Biol       Date:  2015-06-17       Impact factor: 4.475

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