d-henness Goto Github PK

aux

bin_filler

bioinfo_workflows

d-henness.github.io

deseq2_project

dhenness.github.io

driverml

DriverML integrates the Rao's score test and supervised machine learning to identify cancer driver genes. Rigorous and unbiased benchmark analysis and comparisons of DriverML with 20 other existing tools in 31 independent datasets from The Cancer Genome Atlas (TCGA) show that DriverML is robust and powerful among various datasets and outperforms the other tools with a better balance of precision and recall.

ge-lda-survival

Gene Expression based Survival Prediction for Cancer Patients – A Topic Modeling Approach

openmw

This is a read-only mirror of OpenMW. For latest releases, issue tracking and development, visit our Gitlab page below.

physicell

PhysiCell: Scientist end users should use latest release! Developers please fork the development branch and submit PRs to the dev branch. Thanks!

rbook

This book contains the materials for the R course at Techology Training Centre.

test_manubot

testing_la_libs

thesis

theta

Tumor Heterogeneity Analysis (THetA) and THetA2 are algorithms that estimate the tumor purity and clonal/subclonal copy number aberrations directly from high-throughput DNA sequencing data. This repository includes the updated algorithm, called THetA2.

titancna

Analysis of subclonal copy number alterations (CNA) and loss of heterozygosity (LOH) in cancer