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Starred repositories
Repository for the paper "The impact of package selection and versioning on single-cell RNA-seq analysis"
Spatially-aware quality control for spatial transcriptomics
Manuscript repo for the project of novel spatially-aware quality control methods
欢迎来到电子书下载宝库，一个汇聚了各类电子书下载链接的地方。无论你是喜欢阅读经典文学、经管励志、终身学习、职场创业、技术手册还是其他类型的书籍，这里都能满足你的需求。 该库涵盖了帆书app(原樊登读书)、微信读书、京东读书、喜马拉雅等读书app的大部分电子书。
机器学习、深度学习的学习路径及知识总结
A python library for multi omics included bulk, single cell and spatial RNA-seq analysis.
翻译来自AI界大陆吴恩达（Andrew Ng）的免费电子书《How to Build Your Career in AI》
更新2008年版本的《上海交通大学生存手册》gitbook发布于https://survivesjtu.gitbook.io/survivesjtumanual/
《动手做科研》面向科研初学者，一步一步地展示如何入门人工智能科研
A wrapper to simplify the execution of Single Cell analysis with the sc verse
a user-friendly and modular design R package tailored for analyzing single-cell and spatial transcriptome sequencing data of hematopoietic cells
H&E to Xenium SIFT-based Alignment (HEX-SIFT). Automatic alignment of H&E images to a dapi image. Used for H&E alignment to Xenium dapi images.
ScaleSC: A superfast and scalable single cell RNA-seq data analysis pipeline powered by GPU. https://doi.org/10.1101/2025.01.28.635256
DeepSpot: Leveraging Spatial Context for Enhanced Spatial Transcriptomics Prediction from H&E Images
A collection of genomics software tools written in Rust
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
TVM Documentation in Chinese Simplified / TVM 中文文档
PyComplexHeatmap: A Python package to plot complex heatmap (clustermap)
Learning Rust By Practice, narrowing the gap between beginner and skilled-dev through challenging examples, exercises and projects.
“连续八年成为全世界最受喜爱的语言，无 GC 也无需手动内存管理、极高的性能和安全性、过程/OO/函数式编程、优秀的包管理、JS 未来基石" — 工作之余的第二语言来试试 Rust 吧。本书拥有全面且深入的讲解、生动贴切的示例、德芙般丝滑的内容，这可能是目前最用心的 Rust 中文学习教程 / Book
Pytorch🍊🍉 is delicious, just eat it! 😋😋
DECIPHER for learning high-fidelity disentangled embeddings from spatial omics data
Repository for ENACT pipeline for end-to-end analysis of Visium HD data
CHOIR : Clustering Hierarchy Optimization by Iterative Random forests (www.CHOIRclustering.com)
BRAID is a department within Genentech dedicated to advancing biological and clinical sciences through artificial intelligence.