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acgan

adni

predict ADAS and MMSE score based on genotype

awesome-ppml

A curated list of resources for privacy-preserving machine learning

benchmarks

ECP-CANDLE Benchmarks

cm229-genotype-imputation-using-bidirectional-rnn

Genotype Imputation using Bidirectional Recurrent Neural Network

dapl

Autoencoder network for imputing missing values

dcgan-lsgan-wgan-gp-dragan-tensorflow-2

DCGAN LSGAN WGAN-GP DRAGAN Tensorflow 2

dfim

Deep Feature Interaction Maps (DFIM)

download_tcga_gdc

Travel the TCGA dir, and run gdc-client to download specific data

dp-mia

Differential Privacy Protection against MembershipInference Attack on Genomic data

epiml

gan-metrics

An empirical study on evaluation metrics of generative adversarial networks.

gans.tensorflow.v2

genetic-privacy-and-security

Slides and Tutorials

geuvadis_example_files

he-transformer

nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph

hicgan

Hi-C data super-resolution with generative adversarial networks

hpc-submission-scripts

Example job submission scripts for HPC systems (PBS and SLURM)

keras-extract-weights

Utility for extracting layer weights and biases from Keras models

keras-gan

Keras implementations of Generative Adversarial Networks.

lactose-intolerance

This project is to investigate GWAS on lactose intolerance to see if we can find more.

machinelearning

一些关于机器学习的学习资料与研究介绍

matrix_eqtl_pipeline

ngs-analysis

二代测序数据分析

par-gan

PAR-GAN: Improving the Generalization of Generative Adversarial Networks Against Membership Inference Attacks

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

research-computer-vision

Implementations of computer vision concepts.

scda

Sparse Convolutional Denoising Autoencoders for Genotype Imputation

scp_dae

A Sparse Convolutional Predictor with Denoising Autoencoders for Phenotype Prediction

sequence-order-frequency-matrix

Sequence-Order Frequency Matrix (SOFM) is a novel protein profile, which can achieve more information content than traditional profiles.