Package: EpiSemble Type: Package Title: Ensemble Based Machine Learning Approach for Predicting Methylation States Version: 0.1.1 Authors@R: c(person(" Dipro", "Sinha", role = c("aut","cre"), email = "diprosinha@gmail.com"), person("Sunil", "Archak", role = "aut", email = "sunil.archak@gmail.com"), person("Dwijesh Chandra", "Mishra", role = "aut", email = "dwij.mishra@gmail.com"), person("Tanwy", "Dasmandal", role = "aut", email = "tanwydasmandal20@gmail.com"), person("Md", "Yeasin", role = "aut", email = "yeasin.iasri@gmail.com")) Author: Dipro Sinha [aut, cre], Sunil Archak [aut], Dwijesh Chandra Mishra [aut], Tanwy Dasmandal [aut], Md Yeasin [aut] Maintainer: Dipro Sinha Description: DNA methylation (6mA) is a major epigenetic process by which alteration in gene expression took place without changing the DNA sequence. Predicting these sites in-vitro is laborious, time consuming as well as costly. This 'EpiSemble' package is an in-silico pipeline for predicting DNA sequences containing the 6mA sites. It uses an ensemble-based machine learning approach by combining Support Vector Machine (SVM), Random Forest (RF) and Gradient Boosting approach to predict the sequences with 6mA sites in it. This package has been developed by using the concept of Chen et al. (2019) . License: GPL-3 Encoding: UTF-8 RoxygenNote: 7.2.0 Imports: stats, devtools, tidyverse, seqinr, Biostrings, splitstackshape, entropy, party, stringr, tibble, doParallel, parallel, e1071, caret, randomForest, gbm, foreach, ftrCOOL, iterators NeedsCompilation: no Packaged: 2026-10-17 08:26:41 UTC; root Config/pak/sysreqs: cmake libfontconfig1-dev libfreetype6-dev libfribidi-dev git make libharfbuzz-dev libgit2-dev libicu-dev libjpeg-dev libpng-dev libtiff-dev libuv1-dev libwebp-dev libxml2-dev libssl-dev libx11-dev zlib1g-dev Repository: https://diprosinha.r-universe.dev Date/Publication: 2023-06-04 13:20:02 UTC RemoteUrl: https://github.com/cran/EpiSemble RemoteRef: HEAD RemoteSha: 66778bf71277d0ae03b5f447e0ba1566ffc4d14e