Biocview "Survival"

Addtitional Features for package survHD

A framework for cross-validated classification problems, with applications to differential variability and differential distribution testing

AI and ML excursions with Bioconductor and tidymodels

Analysis of Large-Scale Radio-Genomic Data

An Evolutionary Framework for the Identification and Study of Prognostic Gene Expression Signatures in Cancer

An Interactive Consensus Clustering Framework for Multi-platform Data Analysis

Application of gene classifiers

A SummarizedExperiment for Ivy-GAP data

Better prediction by use of co-data: Adaptive group-regularized ridge regression

Bioc2019PanCancerStudy

ceRNAR: An R Package for Identification and Analysis of ceRNAs-miRNA Triplets

Classes and Functions to Serve as the Basis for Other 'Gx' Packages

Clonogenic Survival Analysis in R made easy!

Concordance Based Bootstrap Methods for Outlier Detection in Survival Analysis

Construct nomograms for competing risk models

Differential abundance analysis with a right censored covariate in high-dimensional cytometry

GDCRNATools: an R/Bioconductor package for integrative analysis of lncRNA, mRNA, and miRNA data in GDC

Graphical Interface for Alternative Splicing Quantification, Analysis and Visualisation

gwasurvivr: an R package for genome wide survival analysis

Identification and analysis of miRNA sponge interaction networks and modules

Identification and analysis of miRNA sponge regulation

Identification Of Clinically Relevant Genomic Subtypes Using Outcome Weighted Learning

Identify oncogenes and tumor suppressor genes from omics data

Integrative Pathway Analysis with Modern PCA Methodology and Gene Selection

iPath pipeline for detecting perturbed pathways at individual level

multiClust: An R-package for Identifying Biologically Relevant Clusters in Cancer Transcriptome Profiles

Multi-Omics integration and VIsualization in Cancer Subtyping

Network Centrality Metrics for Elastic-Net Regularized Models

Omics Longitudinal Differential Analysis

Pancreatic Ductal Adenocarcinoma Tool-Kit

Robust prediction of clinical outcomes using cytometry data without cell gating

rqt: utilities for gene-level meta-analysis

SCFA: Subtyping via Consensus Factor Analysis

Significance Analysis of Prognostic Signatures

Similarity Identification in Gene Expression

Simulator for Collections of Independent Genomic Data Sets

Single-gene classifiers and outlier-resistant detection of differential expression for two-group and survival problems

Statistical analysis for the Colony Formation Assay

Statistical analysis of RNA editing sites and hyper-editing regions

Subtype Identification with Survival Data

Summarize, Analyze and Visualize MAF Files

Survival analysis for gene signatures

Survival analysis using transcriptional networks inferred by the RTN package

TCGAbiolinks: An R/Bioconductor package for integrative analysis with GDC data

The Cancer Genome Atlas Data Integration

Transcriptomic Ovarian Cancer Datasets

Variable Selection in Finite Mixture of AFT Regression and FMR

Biocview "Survival"

R Package Documentation

Browse R Packages

We want your feedback!