Pinned Repositories
SigProfilerExtractor
SigProfilerExtractor allows de novo extraction of mutational signatures from data generated in a matrix format. The tool identifies the number of operative mutational signatures, their activities in each sample, and the probability for each signature to cause a specific mutation type in a cancer sample. The tool makes use of SigProfilerMatrixGenerator and SigProfilerPlotting.
DataCarpentaryHW
my first exploring on GitHub
Prediction-of-Non-Coding-Driver-Mutations-Using-Ensemble-Learning
This repository contains the code and data for our paper titled "Prediction of Non-coding Driver Mutations Using Ensemble Learning".
qbic
Python code for training OLS models on uPBM data
QBiC-Pred
Quantitative Binding Change Prediction
sklearn_features
Materials for my scikit-learn tutorial
training-material
A collection of Galaxy-related training material
Prediction-of-Non-Coding-Driver-Mutations-Using-Ensemble-Learning
This repository contains the code and data for our paper titled "Prediction of Non-coding Driver Mutations Using Ensemble Learning".
hilmklnc's Repositories
hilmklnc/qbic
Python code for training OLS models on uPBM data
hilmklnc/DataCarpentaryHW
my first exploring on GitHub
hilmklnc/Prediction-of-Non-Coding-Driver-Mutations-Using-Ensemble-Learning
This repository contains the code and data for our paper titled "Prediction of Non-coding Driver Mutations Using Ensemble Learning".
hilmklnc/QBiC-Pred
Quantitative Binding Change Prediction
hilmklnc/sklearn_features
Materials for my scikit-learn tutorial
hilmklnc/training-material
A collection of Galaxy-related training material