Pinned Repositories
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
internet-use-mental-health
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" 🫀
YanLuoCityU's Repositories
YanLuoCityU/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" 🫀
YanLuoCityU/AUTOSurv
YanLuoCityU/BINN
Generating biologically informed neural networks
YanLuoCityU/Bioinformatics-with-Python-Cookbook-third-edition
Bioinformatics with Python Cookbook, Third Edition
YanLuoCityU/BioXNet
YanLuoCityU/Cloud_Development
Cloud Development
YanLuoCityU/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.
YanLuoCityU/disease-distribution
Methods to explore disease distribution
YanLuoCityU/Dx2vec-for-Self-harm-prediction
A novel deep learning model for self-harm prediction after hospital discharge
YanLuoCityU/EMGNN
Explainable Multilayer Graph Neural Network for Cancer Gene Prediction
YanLuoCityU/internet-use-mental-health
YanLuoCityU/EMOGI
An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.
YanLuoCityU/FutureHealthProteomicPrediction
YanLuoCityU/GenNet
Framework for Interpretable Neural Networks
YanLuoCityU/GGNN
YanLuoCityU/iDPath
Deep Learning Can Identify Explainable Reasoning Paths of Mechanism of Drug Action for Drug Repurposing from Multilayer Biological Network
YanLuoCityU/introR
这是一本中文 R 语言入门书，基于最新 tidyverse 包。
YanLuoCityU/luoyan.github.io
YanLuoCityU/MetabolomicsCommonDiseases
Downstream analysis for the paper "Metabolomic profiles predict individual multi-disease outcomes in the UK Biobank cohort".
YanLuoCityU/ML2022-Spring
**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring
YanLuoCityU/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).
YanLuoCityU/OpenBio
YanLuoCityU/pnet_prostate_paper
P-NET, Biologically informed deep neural network for prostate cancer classification and discovery
YanLuoCityU/pytorch_geometric
Graph Neural Network Library for PyTorch
YanLuoCityU/ukb-rap-tools
Scripts and workflows for use analyzing UK Biobank data from the DNANexus Research Analysis Platform
YanLuoCityU/UKB_NMR_CVD_prediction
YanLuoCityU/UKB_RAP
Access share reviewed code & Jupyter Notebooks for use on the UK Biobank (UKBB) Research Application Platform. Includes resources from DNAnexus webinars, online trainings and workshops.
YanLuoCityU/ukbb-srmed
Text matching UK Biobank Self-Reported medication descriptions for medication classification
YanLuoCityU/UKBiobank
YanLuoCityU/yanluo