yanluocityu Goto Github PK

autosurv

binn

Generating biologically informed neural networks

bioinformatics-with-python-cookbook-third-edition

Bioinformatics with Python Cookbook, Third Edition

bioxnet

cloud_development

Cloud Development

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

disease-distribution

Methods to explore disease distribution

dx2vec-for-self-harm-prediction

A novel deep learning model for self-harm prediction after hospital discharge

emgnn

Explainable Multilayer Graph Neural Network for Cancer Gene Prediction

emogi

An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.

futurehealthproteomicprediction

gennet

Framework for Interpretable Neural Networks

ggnn

graphsynergy

GraphSynergy-GCN examples

idpath

Deep Learning Can Identify Explainable Reasoning Paths of Mechanism of Drug Action for Drug Repurposing from Multilayer Biological Network

internet-use-mental-health

intror

这是一本中文 R 语言入门书，基于最新 tidyverse 包。

luoyan.github.io

metabolomicscommondiseases

Downstream analysis for the paper "Metabolomic profiles predict individual multi-disease outcomes in the UK Biobank cohort".

ml2022-spring

**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring

moglam

MOGLAM is an end-to-end interpretable multi-omics integration method, which mainly consists of three modules: dynamic graph convolutional network with feature selection (FSDGCN), multi-omics attention mechanism (MOAM), and omic-integrated representation learning (OIRL).

mogonet

MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.

neuralcvd

🫀 Code for "Neural network-based integration of polygenic and clinical information: Development and validation of a prediction model for 10 year risk of major adverse cardiac events in the UK Biobank cohort" 🫀

openbio

pnet_prostate_paper

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

pytorch_geometric

Graph Neural Network Library for PyTorch

ukb-rap-tools

Scripts and workflows for use analyzing UK Biobank data from the DNANexus Research Analysis Platform

ukb_nmr_cvd_prediction

ukbb-srmed

Text matching UK Biobank Self-Reported medication descriptions for medication classification

ukbiobank