Literature DB >> 19648140

metahdep: meta-analysis of hierarchically dependent gene expression studies.

John R Stevens1, Gabriel Nicholas.   

Abstract

UNLABELLED: The metahdep package contains tools for combining the results of multiple gene expression studies. Unlike previous microarray meta-analysis packages, metahdep accounts for both sampling and hierarchical dependence among studies, as well as fundamental covariate differences between studies. AVAILABILITY: http://bioconductor.org/packages/release/Software.html

Mesh:

Year:  2009        PMID: 19648140     DOI: 10.1093/bioinformatics/btp468

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


  6 in total

1.  Meta-analysis of gene expression microarrays with missing replicates.

Authors:  Fan Shi; Gad Abraham; Christopher Leckie; Izhak Haviv; Adam Kowalczyk
Journal:  BMC Bioinformatics       Date:  2011-03-24       Impact factor: 3.169

2.  Integrated genomic approaches identify major pathways and upstream regulators in late onset Alzheimer's disease.

Authors:  Xinzhong Li; Jintao Long; Taigang He; Robert Belshaw; James Scott
Journal:  Sci Rep       Date:  2015-07-23       Impact factor: 4.379

3.  Effects of shrub encroachment on soil organic carbon in global grasslands.

Authors:  He Li; Haihua Shen; Leiyi Chen; Taoyu Liu; Huifeng Hu; Xia Zhao; Luhong Zhou; Pujin Zhang; Jingyun Fang
Journal:  Sci Rep       Date:  2016-07-08       Impact factor: 4.379

Review 4.  Available Software for Meta-analyses of Genome-wide Expression Studies.

Authors:  Diego A Forero
Journal:  Curr Genomics       Date:  2019-08       Impact factor: 2.236

5.  A data similarity-based strategy for meta-analysis of transcriptional profiles in cancer.

Authors:  Qingchao Qiu; Pengcheng Lu; Yuzhu Xiang; Yu Shyr; Xi Chen; Brian David Lehmann; Daniel Joseph Viox; Alfred L George; Yajun Yi
Journal:  PLoS One       Date:  2013-01-29       Impact factor: 3.240

6.  Relatedness is a poor predictor of negative plant-soil feedbacks.

Authors:  Zia Mehrabi; Sean L Tuck
Journal:  New Phytol       Date:  2014-12-31       Impact factor: 10.323

  6 in total

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