ToPASeq: an R package for topology-based pathway analysis of microarray and RNA-Seq data

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作者
Ivana Ihnatova
Eva Budinska
机构
[1] Masarykova Univerzita,Institute of Biostatistics and Analyses, Faculty of Medicine
[2] Central European Institute of Technology,RECETOX, Faculty of Science
[3] Masarykova Univerzita,undefined
来源
BMC Bioinformatics | / 16卷
关键词
Topology; Pathway analysis; Microarray; RNA-Seq; Packages;
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[1]  
Subramanian A(2005)Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles Proc Natl Acad Sci 102 15545-15550
[2]  
Tamayo P(2013)Methods and approaches in the topology-based analysis of biological pathways Front Physiol 4 1-22
[3]  
Mootha VK(2007)Analyzing gene expression data in terms of gene sets: methodological issues Bioinforma 23 980-7
[4]  
Mukherjee S(2013)A comprehensive evaluation of normalization methods for illumina high-throughput rna sequencing data analysis Brief Bioinform 14 671-83
[5]  
Ebert BL(2013)A comparison of methods for differential expression analysis of rna-seq data BMC Bioinforma 14 91-70
[6]  
Gillette MA(2013)Comprehensive evaluation of differential gene expression analysis methods for rna-seq data Genome Biol 14 95-102
[7]  
Mitrea C(2015)Comparison of software packages for detecting differential expression in rna-seq studies Brief Bioinforma 16 59-82
[8]  
Taghavi Z(2007)Tappa: topological analysis of pathway phenotype association Bioinforma 23 3100-7
[9]  
Bokanizad B(2014)A matlab tool for pathway enrichment using a topology-based pathway regulation score BMC Bioinforma 15 358-573
[10]  
Hanoudi S(2010)Gene set analysis exploiting the topology of a pathway BMC Syst Biol 4 121-undefined