Changes in version 1.0.0                        

Initial release of package BLMA includes

    o   bilevelAnalysisGeneset: a function to perform a bi-level meta-analysis in conjunction with geneset enrichment methods (ORA/GSA/PADOG) to integrate multiple gene expression datasets.

    o   bilevelAnalysisPathway: a function to perform a bi-level meta-analysis conjunction with Impact Analysis to integrate multiple gene expression datasets.

    o   intraAnalysisClassic: a function to perform an intra-experiment analysis in conjunction with any of the classical hypothesis testing methods, such as t-test, Wilcoxon test, etc.

    o   bilevelAnalysisClassic: a function to perform a bi-level meta-analysis in conjunction with any of the classical hypothesis testing methods, such as t-test, Wilcoxon test, etc.

    o   intraAnalysisGene: a function to perform an intra-experiment analysis in conjunction with the moderated t-test (limma package) for the purpose of differential expression analysis of a gene expression dataset

    o   bilevelAnalysisGene: a function to perform a bi-level meta-analysis in conjunction with the moderate t-test (limma package) for the purpose of differential expression analysis of multiple gene expression datasets

    o   loadKEGGPathways: this function loads KEGG pathways and names

    o   addCLT: a function to combine independent studies using the average of p-values

    o   fisherMethod: a function to combine independent p-values using the minus log product

    o   stoufferMethod: a function to combine independent studies using the sum of p-values transformed into standard normal variables