bioinfo-dirty-jobs's repositories
3d-deep-learning
3D Deep Learning works
3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
alignment-and-variant-calling-tutorial
basic walk-throughs for alignment and variant calling from NGS sequencing data
Attention-Gated-Networks
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
Brain-Tumor-Detection-and-Segmentation-using-Deep-Learning
This repo includes Glioma Segmentation with Mask R-CNN and U-Net.
BRAINSTools
A suite of tools for medical image processing focused on brain analysis
DarcSign
DNA repair classification signatures: Using XGBoost models to classify DNA repair defects from liquid biopsy sequencing.
Data-Augmentation-and-Segmentation-with-GANs-for-Medical-Images
Generating randomized brain MRI images from random noise using a GAN. Additionally translating from one image domain to another with a conditional GAN (pix2pix): Segmenting brain anatomy - Generating brain MRI from the segmentation - Augmenting the translation of image modalities in a limited dataset to perform ischemic stroke segmentation.
Fetal-MRI-Segmentation
Total Body and Brain 3D Segmentation in Fetal MRI scans
gbm_immune_validation
Validating glioblastoma immune cell immunohistochemsitry using computational deconvolution of TCGA tumors
Immuno_notes
Immunology-related bioinformatics data and tools
machine_learning_examples
A collection of machine learning examples and tutorials.
pytorch-3dunet
3D U-Net model for volumetric semantic segmentation written in pytorch
rna2020
Trascriptomics course
shiny-iatlas
An interactive web portal for exploring immuno-oncology data
test_mou
Test
variant_tutorial
Course material for the genetic variant calling tutorial at ILRI Ethiopia