Pinned Repositories
Analysing-10X-ScRNA-data-Wang-et-al-2020-Nat-Commun-
I redo the ScRNA analysis in the paper of Wang et al 2020, Nat Comm. Here's my modified script for Helen He Zhu github (https://github.com/HelenHeZhu/StemCell)
annotated_deep_learning_paper_implementations
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
awesome-github-vue
Vue相关开源项目库汇总
awesome-single-cell
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
Bioinformatics-Tutorial
:books: Various bioinformatics tutorials
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
EpiAnno
Single-cell epigenomic data annotation via supervised non-linear embedding
Genome-annotation-pipeline
Genome annotation pipeline
gin-vue-admin
基于vite+vue3+gin搭建的开发基础平台（支持TS,JS混用），集成jwt鉴权，权限管理，动态路由，显隐可控组件，分页封装，多点登录拦截，资源权限，上传下载，代码生成器，表单生成器等开发必备功能。
HBC-scRNA-seq
Utils-scRNAseq
sunjiahe-hub's Repositories
sunjiahe-hub/Analysing-10X-ScRNA-data-Wang-et-al-2020-Nat-Commun-
I redo the ScRNA analysis in the paper of Wang et al 2020, Nat Comm. Here's my modified script for Helen He Zhu github (https://github.com/HelenHeZhu/StemCell)
sunjiahe-hub/annotated_deep_learning_paper_implementations
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
sunjiahe-hub/awesome-github-vue
Vue相关开源项目库汇总
sunjiahe-hub/awesome-single-cell
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
sunjiahe-hub/Bioinformatics-Tutorial
:books: Various bioinformatics tutorials
sunjiahe-hub/deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
sunjiahe-hub/EpiAnno
Single-cell epigenomic data annotation via supervised non-linear embedding
sunjiahe-hub/Genome-annotation-pipeline
Genome annotation pipeline
sunjiahe-hub/gin-vue-admin
基于vite+vue3+gin搭建的开发基础平台（支持TS,JS混用），集成jwt鉴权，权限管理，动态路由，显隐可控组件，分页封装，多点登录拦截，资源权限，上传下载，代码生成器，表单生成器等开发必备功能。
sunjiahe-hub/HBC-scRNA-seq
Utils-scRNAseq
sunjiahe-hub/Human_Keloid_scRNAseq
single RNA-seq analysis of human keloid samples
sunjiahe-hub/mp_duty
抓取网络文章到github issues保存
sunjiahe-hub/my_test
learn and test
sunjiahe-hub/RenalTumor
Single-cell multi-omics analysis reveals regulatory programs in clear cell renal cell carcinoma
sunjiahe-hub/sanbomics_scripts
scripts and notebooks from sanbomics
sunjiahe-hub/scCRC_continuum
sunjiahe-hub/scRNA-analysis
sunjiahe-hub/scrnapip
A Systematic and Dynamic Pipeline for Single-Cell RNA Sequencing Analysis
sunjiahe-hub/scRNAseq_analysis_vignette
Tutorial for scRNA-seq data analysis beginners using R
sunjiahe-hub/sgs
SGS, is a user-friendly, collaborative and versatile browser for visualizing single-cell and spatial multiomics data.
sunjiahe-hub/SGS_WEB
sgs：a new tool
sunjiahe-hub/single-cell-best-practices
https://www.sc-best-practices.org
sunjiahe-hub/Thompson-et-al.-2021
P0 scATAC-seq and scRNA-seq paper
sunjiahe-hub/train-classifier-from-scratch
Machine Learning: Collect data online and train a classifier from scratch
sunjiahe-hub/Vargas-Chavez_et_al_2024_Chromosome_shattering_clitellate_origins
Repository for code and files related to the manuscript Vargas-Chávez et al. 2024. A punctuated burst of massive genomic rearrangements by chromosome shattering and the origin of non-marine annelids
sunjiahe-hub/vitessce
Vitessce is a visual integration tool for exploration of spatial single-cell experiments.
sunjiahe-hub/vthread
python 更加方便的多线程库，以最小的代码侵入，做到最高效的多线程、线程池 coding 效率。在不改变源代码的情况下，一行代码即可实现线程池操作。
sunjiahe-hub/watchlist
python-flask-web
sunjiahe-hub/Xunyinbei_Article_Reproduction_Code
Xunyinbei_Article_Reproduction_Code
sunjiahe-hub/zh.javascript.info
现代 JavaScript 教程（The Modern JavaScript Tutorial）