Description:
IntegratedLearner provides an integrated machine learning framework to 1) consolidate predictions by borrowing information across several longitudinal and cross-sectional omics data layers, 2) decipher the mechanistic role of individual omics features that can potentially lead to new sets of testable hypotheses, and 3) quantify uncertainty of the integration process. Three types of integration paradigms are supported: early, late, and intermediate. We are currently in the process of submitting IntegratedLearner to Bioconductor. Likewise, please keep an eye out for a future release of IntegratedLearner as an R/Bioconductor package while this repository remains the development version of the package.