emmauom Goto Github PK

ad-genetics-prediction

Alzheimer's disease gene prediction using heterogeneous network

adni_practice

dbsnp

dbSNP

deep-pgs

Deep learning model for polygenic scoring (predicting traits using DNA markers)

deeplearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

deeplearning-1

深度学习入门教程, 优秀文章, Deep Learning Tutorial

deepsea_keras

Keras implementation of Deepsea

genoset-alzheimer

Determines if a genome has an increased risk of Alzheimer's disease. (GS293)

lassosum

LASSO for GWAS with summary statistics

lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

lihang-code

《统计学习方法》的代码实现

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

mr-antihypertensives-ad

Repurposing antihypertensive drugs for the prevention of Alzheimer’s disease: a Mendelian Randomization study

prscs

Polygenic prediction via continuous shrinkage priors

r4dummies

scread

Single-cell RNA-seq Alzheimer's Disease Database

sct-bigstatsr

R package for statistical tools with big matrices stored on disk.

statistical-learning-method_code

手写实现李航《统计学习方法》书中全部算法

stmwithhfs

Identifying Genetic Risk Factors for Alzheimer’s Disease via Shared Tree-guided Feature Learning across Multiple Tasks

uk_biobank_gwas

Overview of the data QC, code, and GWAS summary output from the 2017 UK Biobank data release

vg

tools for working with genome variation graphs

wgan-for-rnaseq-analysis

A practical application of generative adversarial networks for RNA-seq analysis to predict the molecular progress of Alzheimer's disease