Targeted and non-targeted anticancer drugs and drug regimens
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Updated
Aug 7, 2024 - R
Targeted and non-targeted anticancer drugs and drug regimens
We used different machine learning approaches to build models for detecting and visualizing important prognostic indicators of breast cancer survival rate. This repository contains R source codes for 5 steps which are, model evaluation, Random Forest further modelling, variable importance, decision tree and survival analysis. These can be a pipe…
Bioconductor R-package: Curated Prostate Cancer Data
Predicting chemosensitivity using gene expression
💹 The package is user friendly interface based on the cgdsr and other modeling packages to explore, compare, and analyse all available Cancer Data (Clinical data, Gene Mutation, Gene Methylation, Gene Expression, Protein Phosphorylation, Copy Number Alteration) hosted by the Computational Biology Center at Memorial-Sloan-Kettering Cancer Center …
Examples on processing and working with TCGA mutation and RNA-Seq data
Implements four major subtype classifiers for high-grade serous (HGS) ovarian cancer.
The goal of iCTC is to detect whether peripheral blood cells have CTCs (circulating tumor cell) or not.
Scripts to manage biotab files from TCGA.
A magyar Rákregiszter adatait feldolgozó, azokat kényelmesen használhatóvá tevő, vizualizáló program.
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