• About
  • Documentation
  • More Universes
  • Recent Updates
  • Leader board
  • All repositories
  • All packages
  • All articles
  • All datasets
  • All system Libraries
miriamesteve
  • Builds
  • Packages
  • Articles
  • Datasets
  • Contribution
  • Badges
  • API
  • Feed

Links tomiriamesteve

GSSTDA - Progression Analysis of Disease with 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>.

Last updated 7 months ago

5.15 score 2 stars 7 scripts 586 downloads

eat - Efficiency Analysis Trees

Functions are provided to determine production frontiers and technical efficiency measures through non-parametric techniques based upon regression trees. The package includes code for estimating radial input, output, directional and additive measures, plotting graphical representations of the scores and the production frontiers by means of trees, and determining rankings of importance of input variables in the analysis. Additionally, an adaptation of Random Forest by a set of individual Efficiency Analysis Trees for estimating technical efficiency is also included. More details in: <doi:10.1016/j.eswa.2020.113783>.

Last updated 3 years ago

4.68 score 5 stars 19 scripts 273 downloads