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Predicting Disease Progression Based on Methylation Correlated Blocks using Ensemble Models

Bioconductor version: Development (3.20)

Creation of the correlated blocks using DNA methylation profiles. Machine learning models can be constructed to predict differentially methylated blocks and disease progression.

Author: Xin Yu

Maintainer: Xin Yu <whirlsyu at>

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biocViews DNAMethylation, MethylationArray, Normalization, Software, SupportVectorMachine
Version 1.17.0
In Bioconductor since BioC 3.11 (R-4.0) (4 years)
License GPL-2
Depends R (>= 4.0)
Imports survivalROC, glmnet, rms, mboost, Matrix, igraph, methods, survivalsvm, ggplot2, boot, e1071, survival, BiocFileCache
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Suggests SummarizedExperiment, testthat, Biobase, survminer, affycoretools, knitr, plotROC, limma, rmarkdown
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