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Spatial Transcriptomics deconvolution pipeline
A trial of kbqa based on bert for NLPCC2016/2017 Task 5 (基于BERT的中文知识库问答实践,代码可跑通)
Cell clustering for spatial transcriptomics data with graph neural network
domain adaptation of spatial and single-cell transcriptome
吴恩达老师的机器学习课程个人笔记
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被60个国家的400所大学用于教学。
DANCE: A Deep Learning Library and Benchmark Platform for Single-Cell Analysis
Identify spatial domain
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
KBQA based on the NLPCC2016 dataset, including reimplementation of NLPCC2016 best team`s QA.
collected resource for scRNA-seq analysis
This Github repository holds Notebooks and results of running SDePER on both Simulated and Real datasets, and Notebooks for Figure Panels in manuscript.
SingleCell: A Python/Cython Package for Processing Single-Cell RNA-Seq Data.
A reference-free deconvolution method for spatial transcriptomics data
SONAR is the algorithm of cell-type deconvolution for spatial transcriptomics
Spatial Cellular Estimator for Tumors
overview of spatial datasets
Spatial Transcriptomics Capture Location Deconvolution
spSeudoMap: cell type mapping of spatial transcriptomics using unmatched single-cell RNA-seq data
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.