A Shrek inspired package with colors and quotes

Tool to download/merge RNASeq data from the GDC Portal in matrices identified by TCGA barcode

A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.

Compute gradients on mesh and unstructured data objects.

Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification | https://arxiv.org/abs/2105.02726

Individual Coefficient Approximation for Risk Estimation (ICARE) model

P-NET, Biologically informed deep neural network for prostate cancer classification and discovery

Python package for multi-view machine learning

pyComBat is a Python 3 implementation of ComBat, one of the most widely used tool for correcting technical biases, called batch effects, in microarray expression data.

This data-centric AI repository implements a robust deep learning method (LFBNet) for fully automated tumor segmentation in whole-body [18]F-FDG PET/CT images.

PyTorch deep learning projects made easy.

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

Hierarchical approach to Stabilised Independent Component Analysis

Code for ICE-BeeM paper - NeurIPS 2020

Computational framework for dataset integration

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

Deep probabilistic analysis of single-cell and spatial omics data

Nextflow pipeline for RNA-seq pre-analysis (quality controls, genes/isoforms expression, isoform de-novo identification)

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

Preconditioned ICA for Real Data

PyTorch Tutorial for Deep Learning Researchers

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

A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.