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r_for_data_science

Materials for teaching R and tidyverse

riskclustr

R package of functions for the study of etiologic heterogeneity

riskregression

R package for risk regression and prediction with censored data

rmst

Code to estimate RMST in R

satpred

sc-type

scarhrd

scclassifr

An R package to automatically classify cell types in scRNA-seq datasets. Supports Seurat and SingleCellExperiment class

scikit-learn

scikit-learn: machine learning in Python

seer_opcs_survival_prediction_code_data

shap

A game theoretic approach to explain the output of any machine learning model.

shap-values

Shap values for model interpretation

singler

Clone of the Bioconductor repository for the SingleR package.

smarteda

a R package for data exploratory analysis

stic-model

Source code for SpatialExtractor-TemporalEncoder-Integration-Classifier (STIC) model

superlearner

Current version of the SuperLearner R package

survidinri

R package submitted to CRAN

survivalmodels

Implementations of survival models in R

survminer

Survival Analysis and Visualization

tcga-microbiome-prediction

Predictive models and analysis of cancer prognosis and drug response using primary tumor microbial abundances derived from WGS and RNA-seq sequencing data for 32 TCGA cancers (Poore et al. Nature 2020), including equivalent models using TCGA RNA-seq gene expression and combined microbial abundance and gene expression for comparison.

tdm

R package for normalizing RNA-seq data to make them comparable to microarray data.

tmescore

Calculating Tumor microenvironment score

tmexplorer

A collection of tumour microenvironment single-cell RNA sequencing datasets for use in R and other pipelines.

traditional-survival-analysis-and-visualization

Traditional survival analysis and visualization

tutorials

MONAI Tutorials