rzzli's Stars
ressomlab/INDEED
An Implementation of Integrated Differential Expression and Differential Network Analysis for Cancer Biomarker Discovery
Luke115/Accelerated-Computer-Science-Fundamentals-Specialization-Solution
UIUC Illinois Computer Science Fundamentals Solution Coursera
TranslationalBioinformaticsUnit/singlecelldb
An actionable database of publicly available single-cell RNA-seq data
biom262/cmm262-2020
Quantitative Methods in Genetics and Genomics Course 2020
rsankowski/sankowski-et-al-microglia
xgaoo/ClusterMap
ClusterMap is an R package to analyze and compare two or more single cell expression datasets.
matmu/friedman-rafsky-test
jumphone/BEER
BEER: Batch EffEct Remover for single-cell data
janishar/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
r-spatial/sf
Simple Features for R
mbadry1/DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
utkuufuk/coursera-machine-learning
My lecture notes and assignment solutions for the Coursera machine learning class taught by Andrew Ng.
mhu10/scPanoView
JCVenterInstitute/NSForest
A machine learning method for the discovery of the minimum marker gene combinations for cell type identification from single-cell RNA sequencing
AbdallahHemdan/Algorithmic-Toolbox-San-Diego
✔ My Solutions of (Algorithmic-Toolbox ) Assignments from Coursera ( University of California San Diego ) With "Go In Depth" Part Which Contains More Details With Each of The Course Topics
vladmelnyk/Algorithmic-toolbox
Algorithmic toolbox assignments from Coursera
satijalab/seurat
R toolkit for single cell genomics
hemberg-lab/scRNA.seq.course
Analysis of single cell RNA-seq data course
yuanxiaosc/DeepImage-an-Image-to-Image-technology
DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络(GAN,Generative Adversarial Network)图像生成的理论与实践研究。
brianhie/scanorama
Panoramic stitching of single cell data
liuyubobobo/Play-with-Algorithms
Codes of my MOOC Course <Play with Algorithms>, Both in C++ and Java language. Updated contents and practices are also included. 我在慕课网上的课程《算法与数据结构》示例代码,包括C++和Java版本。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。