Stevie Yeh's repositories
The-Elements-of-Statistical-Learning-Python-Notebooks
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
10x-scATAC-2019
Code Repository for Satpathy Granja et al 2019
awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Bio-AlignAnalysis
Bio Align Anlysis(scRNA,wes etc)
Class-balanced-loss-pytorch
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
Cluster_SingleCell_CellType
Use the method to auto classify cell type in single cell
ComBat-seq
Batch effect adjustment based on negative binomial regression for RNA sequencing count data
DeepLearning
深度学习入门教程&&优秀文章&&Deep Learning Tutorial
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet代码实现改为PyTorch实现。
DoubletFinder
R package for detecting doublets in single-cell RNA sequencing data
Genrich
Detecting sites of genomic enrichment
model-zoo
Please do not feed the models
MPAL-Single-Cell-2019
Publication Page for MPAL Paper 2019
pbbioconda
PacBio Secondary Analysis Tools on Bioconda
pyGenomeTracks
python module to plot beautiful and highly customizable genome browser tracks
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
Scanpy_LightGBM_10X
Use the Scanpy read 10X dataset and LightGBM run the model
scATAC-pro
A comprehensive tool for processing, analyzing and visulizing single cell chromatin accessibility sequencing data
scATAC_DeepLearning
Single-cell ATAC-seq analysis via Latent feature Extraction
scCATCH_performance_comparison
The source code and results of performance comparison on the detail of the process among scCATCH, CellAssign, Garnett, SingleR, scMap and CHETAH, and CellMatch database
scrublet
Detect doublets in single-cell RNA-seq data
SnapATAC
Analysis Pipeline for Single Cell ATAC-seq
SQANTI2
Private repo for Liz's modified SQANTI
TheAlgorithms-Python
All Algorithms implemented in Python