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anndata

Annotated data.

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

beautiful-visualization-with-r

《R语言数据可视化之美》配套代码

bioactivity-prediction-app

bioinformatics_freecodecamp

biscuit_singlecell_imm_icml_2016

R Codebase for BISCUIT: Infinite Mixture Model to cluster and impute single cells.

book3_elements-of-mathematics

Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！

book4_power-of-matrix

Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！

bootcamp

Caltech Introduction to Programming for the Biological Science Bootcamp

code

开发者课堂课程资料

crc-immune-hubs

Principal analysis code used in for analysis of single cell RNAseq of primary untreated colon cancer. As described in: "Spatially organized multicellular immune hubs in human colorectal cancer"

crc_code

Bioinformatics analysis code.

crc_scrnaseq

deep-learning-with-keras-notebooks

Jupyter notebooks for using & learning Keras

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

degust

An interactive web-tool for RNA-seq analysis

epistromaimmune

hello-algo

《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Java, C++, Python, Go, JS, TS, C#, Swift, Rust, Dart, Zig 等语言。

msifromhe

predict microsatellite status from hematoxylin-eosin histology of gastrointestinal cancer

my_first_repository

Test for python bootcamp

nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

python-cheatsheet

Basic Cheat Sheet for Python (PDF, Markdown and Jupyter Notebook)

scell_lung_adenocarcinoma

This is the repository that contains the analysis of the lung adenocarcinoma single cell dataset

scimpute

Accurate and robust imputation of scRNA-seq data

scrna.seq.course

Analysis of single cell RNA-seq data course

spatialdata-notebooks

sscclust

simpler single cell RNAseq data clustering

startrac

STARTRAC(Single T-cell Analysis by Rna-seq and Tcr TRACking)

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

tcga_example