Package: GSSTDA Title: Progression Analysis of Disease with Survival using Topological Data Analysis Version: 1.0.0 Authors@R: c( person(given = "Miriam", family = "Esteve", role = c("aut", "cre"), email = "miriam.estevecampello@uchceu.es", comment = c(ORCID = "0000-0002-5908-0581")), person(given = "Raquel", family = "Bosch", role = c("aut"), email = "raquel.boschromeu@uchceu.es"), person(given = "Jaume", family = "Forés", role = c("aut"), email = "fores.martos.jaume@gmail.com", comment = c(ORCID = "0000-0002-9025-4877")), person(given = "Joan", family = "Climent", role = c("aut"), email = "joan.climentbataller@uchceu.es"), person(given = "Antonio", family = "Falco", role = c("aut"), email = "afalco@uchceu.es") ) Description: Mapper-based survival analysis with transcriptomics data is designed to carry out. Mapper-based survival analysis is a modification of Progression Analysis of Disease (PAD) where survival data is taken into account in the filtering function. More details in: J. Fores-Martos, B. Suay-Garcia, R. Bosch-Romeu, M.C. Sanfeliu-Alonso, A. Falco, J. Climent, "Progression Analysis of Disease with Survival (PAD-S) by SurvMap identifies different prognostic subgroups of breast cancer in a large combined set of transcriptomics and methylation studies" . License: GPL-3 Encoding: UTF-8 Roxygen: list(markdown = TRUE) LazyData: true LazyDataCompression: xz DependsNote: BioC (>= 3.2) Imports: base, cluster, stats, survival, utils, visNetwork, ComplexHeatmap, circlize, devtools Suggests: rmarkdown, knitr, testthat (>= 3.0.0) SuggestsNote: BioC (>= 3.0), Recommended: affy, oligoClasses, oligo, GEOquery, DupChecker, arrayQualityMetrics, vctrs, frma, a4Preproc, genefu, plyr, preprocessCore, hgu133plus2.db VignetteBuilder: knitr Config/testthat/edition: 3 Depends: R (>= 3.5.0) RoxygenNote: 7.2.3 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 perl libx11-dev zlib1g-dev Repository: https://miriamesteve.r-universe.dev Date/Publication: 2024-08-01 20:29:04 UTC RemoteUrl: https://github.com/miriamesteve/gsstda RemoteRef: HEAD RemoteSha: fddde620fdc5d119ea76e50edd0fa8389929c3ab NeedsCompilation: no Packaged: 2026-10-03 07:51:29 UTC; root Author: Miriam Esteve [aut, cre] (ORCID: ), Raquel Bosch [aut], Jaume Forés [aut] (ORCID: ), Joan Climent [aut], Antonio Falco [aut] Maintainer: Miriam Esteve