BLMA: A package for bi-level meta-analysis

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Documentation for package ‘BLMA’ version 1.14.0

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addCLT The additive method for meta-analysis
bilevelAnalysisClassic Bi-level meta-analysis in conjunction with a classical hypothesis testing method
bilevelAnalysisGene Bi-level meta-analysis of multiple expression datasets at the gene-level
bilevelAnalysisGeneset Bi-level meta-analysis - applied to geneset enrichment analysis
bilevelAnalysisPathway Bi-level meta-analysis - applied to pathway analysis
data_GSE17054 Gene expression dataset GSE17054 from Majeti et al.
data_GSE33223 Gene expression dataset GSE33223 from Bacher et al.
data_GSE42140 The gene expression dataset GSE42140 obtained from Gene Expression Omnibus
data_GSE57194 Gene expression dataset GSE57194 from Abdul-Nabi et al.
fisherMethod Fisher's method for meta-analysis
getStatistics Intergrative genes statistic
group_GSE17054 Gene expression dataset GSE17054 from Majeti et al.
group_GSE33223 Gene expression dataset GSE33223 from Bacher et al.
group_GSE42140 The gene expression dataset GSE42140 obtained from Gene Expression Omnibus
group_GSE57194 Gene expression dataset GSE57194 from Abdul-Nabi et al.
GSE17054 Gene expression dataset GSE17054 from Majeti et al.
GSE33223 Gene expression dataset GSE33223 from Bacher et al.
GSE42140 The gene expression dataset GSE42140 obtained from Gene Expression Omnibus
GSE57194 Gene expression dataset GSE57194 from Abdul-Nabi et al.
intraAnalysisClassic Intra-experiment analysis in conjunction with classical hypothesis tests
intraAnalysisGene Intra-experiment analysis of an expression dataset at the gene-level
loadKEGGPathways Load KEGG pathways and names
pORACalc Over-representation Analysis
stoufferMethod Stouffer's method for meta-analysis