This package facilitates the discovery of biomarkers from biological sequencing data (e.g., microarrays, RNA-seq) based on the associations of potential biomarkers with exposure variables by implementing an inferential procedure that combines a generalization of moderated statistics with targeted minimum loss estimates of the average treatment effect whose estimator admits an asymptotically linear representations (in terms of an efficient influence function).
|Author||Nima Hejazi [aut, cre, cph] (<https://orcid.org/0000-0002-7127-2789>), Alan Hubbard [aut, ths] (<https://orcid.org/0000-0002-3769-0127>), Mark van der Laan [aut, ths] (<https://orcid.org/0000-0003-1432-5511>), Weixin Cai [ctb] (<https://orcid.org/0000-0003-2680-3066>)|
|Bioconductor views||DifferentialExpression GeneExpression ImmunoOncology Microarray RNASeq Sequencing|
|Maintainer||Nima Hejazi <[email protected]>|
|Package repository||View on Bioconductor|
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