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 and outcome variables by implementing an estimation procedure that combines a generalization of moderated statistics with targeted minimum loss-based estimates (TMLE) of parameters defined via causal inference (e.g., Average Treatment Effect) whose estimators admit asymptotically linear representations.
|Author||Nima Hejazi [aut, cre, cph], Alan Hubbard [aut, ths], Weixin Cai [ctb]|
|Bioconductor views||DifferentialExpression GeneExpression Microarray RNASeq Sequencing|
|Maintainer||Nima Hejazi <[email protected]>|
|Package repository||View on Bioconductor|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.