Pinned Repositories
AD_RNA-Seq
Supplementary material towards the manuscript: Modelling early changes in Alzheimer’s disease by RNA Sequencing of brain regions differentially affected by pathology.
awesome-gan-for-medical-imaging
Awesome GAN for Medical Imaging
awesome-public-datasets
A topic-centric list of HQ open datasets.
CDR-Classification
Towards the development of robust models for clinical dementia rating classification with improved interpretability
MinimumBoundingBox
Finds the minimum bounding box from a point cloud.
ML-for-Parkinson-a-Microarray
Jupyter Notebook files to classify Microarray data into PD/HC
Non-image-data-classification-with-CNN
Non-image data classification with CNN: 3 algorithms
PPMI_classification
Algorithms and pipeline to classify PD
SRA-RNAseq
ukb-IDEARS
UKBiobank dementia, AD and PD classification and SHAP
FOREFRONT BIOINFORMATICS & STATISTICS RESEARCH GROUP's Repositories
binfnstats/CDR-Classification
Towards the development of robust models for clinical dementia rating classification with improved interpretability
binfnstats/PPMI_classification
Algorithms and pipeline to classify PD
binfnstats/awesome-public-datasets
A topic-centric list of HQ open datasets.
binfnstats/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
binfnstats/scPred
scPred package for cell type prediction from scRNA-seq data
binfnstats/yeast_umap
Using UMAP on gene expression data from single-gene deletion strains of yeast to identify gene interactions
binfnstats/Awesome-Deep-Learning-Resources
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier
binfnstats/awesome-healthmetrics
A curated list of awesome resources at the intersection of healthcare and AI
binfnstats/basenji
Sequential regulatory activity predictions with deep convolutional neural networks.
binfnstats/Basset
Convolutional neural network analysis for predicting DNA sequence activity.
binfnstats/cifar-10-cnn
Play deep learning with CIFAR datasets
binfnstats/cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
binfnstats/CNNC
covolutional neural network based coexpression analysis
binfnstats/deep-learning-models
Keras code and weights files for popular deep learning models.
binfnstats/deep-review
A collaboratively written review paper on deep learning, genomics, and precision medicine
binfnstats/DeepCC
a deep learning-based framework for cancer classification
binfnstats/DeepExplain
A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)
binfnstats/deepinsight-fs
binfnstats/DLTFpT
Deep Learning with TensorFlow, Keras, and PyTorch (https://learning.oreilly.com/videos/deep-learning-with/9780136617617)
binfnstats/dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
binfnstats/ImaGene
Estimation of population genetic parameters using deep learning
binfnstats/keras-applications
Reference implementations of popular deep learning models.
binfnstats/PDCode
binfnstats/pytorch-cifar
95.16% on CIFAR10 with PyTorch
binfnstats/pytorch-siamese-triplet
One-Shot Learning with Triplet CNNs in Pytorch
binfnstats/pytorch_Squeezenet
Implementation of Squeezenet in pytorch, pretrained models on Cifar 10 data to come
binfnstats/shapFlex
An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
binfnstats/siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch
binfnstats/tutorials
PyTorch tutorials.
binfnstats/VividR_code