Package: omada Type: Package Title: Machine learning tools for automated transcriptome clustering analysis Version: 1.15.0 Authors@R: person("Sokratis", "Kariotis", role = c("aut", "cre"), email = "sokratiskariotis@gmail.com", comment = c(ORCID = "0000-0001-9993-6017")) Description: Symptomatic heterogeneity in complex diseases reveals differences in molecular states that need to be investigated. However, selecting the numerous parameters of an exploratory clustering analysis in RNA profiling studies requires deep understanding of machine learning and extensive computational experimentation. Tools that assist with such decisions without prior field knowledge are nonexistent and further gene association analyses need to be performed independently. We have developed a suite of tools to automate these processes and make robust unsupervised clustering of transcriptomic data more accessible through automated machine learning based functions. The efficiency of each tool was tested with four datasets characterised by different expression signal strengths. Our toolkit’s decisions reflected the real number of stable partitions in datasets where the subgroups are discernible. Even in datasets with less clear biological distinctions, stable subgroups with different expression profiles and clinical associations were found. Depends: pdfCluster (>= 1.0-3), kernlab (>= 0.9-29), R (>= 4.2), fpc (>= 2.2-9), Rcpp (>= 1.0.7), diceR (>= 0.6.0), ggplot2 (>= 3.3.5), reshape (>= 0.8.8), genieclust (>= 1.1.3), clValid (>= 0.7), glmnet (>= 4.1.3), dplyr(>= 1.0.7), stats (>= 4.1.2), clValid(>= 0.7) Suggests: rmarkdown, knitr, testthat License: GPL-3 Encoding: UTF-8 RoxygenNote: 7.3.1 VignetteBuilder: knitr biocViews: Software, Clustering, RNASeq, GeneExpression LazyData: true Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libx11-dev zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:58:54 UTC RemoteUrl: https://github.com/bioc/omada RemoteRef: HEAD RemoteSha: 29dae47fa8299e9c57e0b1129fade4d67d41e7b5 NeedsCompilation: no Packaged: 2026-07-04 23:24:54 UTC; root Author: Sokratis Kariotis [aut, cre] (ORCID: ) Maintainer: Sokratis Kariotis