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GSSTDA: Gene Structure Survival using Topological Data Analysis

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" <doi:10.1101/2022.09.08.507080>.

Version: 0.1.3
Depends: R (≥ 3.5.0)
Imports: base, cluster, stats, survival, utils, visNetwork, ComplexHeatmap, circlize, devtools
Suggests: rmarkdown, knitr, testthat (≥ 3.0.0)
Published: 2023-06-07
Author: Miriam Esteve ORCID iD [aut, cre], Raquel Bosch [aut], Jaume Forés ORCID iD [aut], Joan Climent [aut], Antonio Falco [aut]
Maintainer: Miriam Esteve <miriam.estevecampello at uchceu.es>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: GSSTDA results

Documentation:

Reference manual: GSSTDA.pdf
Vignettes: GSSTDA-vignette

Downloads:

Package source: GSSTDA_0.1.3.tar.gz
Windows binaries: r-devel: GSSTDA_0.1.3.zip, r-release: GSSTDA_0.1.3.zip, r-oldrel: GSSTDA_0.1.3.zip
macOS binaries: r-release (arm64): GSSTDA_0.1.3.tgz, r-oldrel (arm64): GSSTDA_0.1.3.tgz, r-release (x86_64): GSSTDA_0.1.3.tgz, r-oldrel (x86_64): GSSTDA_0.1.3.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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