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NEWS
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NEWS
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CHANGES IN VERSION 1.8.0
-------------------------
o Extended support for benchmarking user-defined inputs:
- mixing of pre-defined and user-defined enrichment methods
(functions `runEA` and `evalTypeIError`)
- simplified passing on of additional arguments to user-defined enrichment
methods for functions `runEA` and `evalTypeIError`
o The TCGA RNA-seq compendium can now also be obtained via curatedTCGAData
using `loadEData("tcga", mode = "cTD")`
CHANGES IN VERSION 1.6.0
-------------------------
o New function `evalTypeIError`: type I error evalution by sample permutation
- evaluation of >= 1 enrichment methods on >= 1 expression datasets
- support for splitting permutations into blocks of defined size + invoking
parallel evaluation of the partitions
o New function `evalRandomGS` for evaluation of random gene sets:
- estimates proportion of rejected null hypotheses (= fraction of significant
gene sets) of an enrichment method when applied to random gene sets of defined size
- evaluation of >= 1 enrichment methods on an expression dataset of choice
o New argument `method` to the `evalRelevance` function for the evaluation
of phenotype relevance of gene set rankings, choices include:
- "wsum": computes a weighted sum of the relevance scores (default),
- "auc": performs a ROC/AUC analysis based on the ROCR package,
- "cor": computes a standard correlation such as Spearman's rank correlation,
- a user-defined function for customized behaviors.
o New function `metaFC` for summarizing fold changes of individual datasets
across a compendium of expression datasets
o New functions `plotDEDistribution` and `plotNrSamples` for exploring
differential expression and sample size across a compendium of expression datasets
o Extended support for user-defined benchmarking inputs including simplified
plug-in of user-defined enrichment methods (thanks to Marcel Ramos @LiNk-NY)