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全面ESM+Vue3+Vite+Element-Plus+TypeScript编写的一款后台管理系统（兼容移动端）
Writing AI Conference Papers: A Handbook for Beginners
Research Paper: "Graph Contrastive Learning as a Versatile Foundation for Advanced scRNA-seq Data Analysis"
GRAS4T: A spatial domain identification tool
Official Pytorch code for Structure-Aware Transformer.
xie-lab / SECE
Forked from yuyuanyuana/SECESpatial region-related embedding and Cell type-related embedding of spatial transcriptomics.
A Transformer Model Exploiting Histology Images and Spatial Gene Expression
SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network
A Guide to the Analysis of Spatial Transcriptomics
自动化反编译微信小程序，小程序安全评估工具，发现小程序安全问题，自动解密，解包，可还原工程目录，支持Hook，小程序修改
Multi-Layer Network Model leverages identification of spatial domains from spatial transcriptomics data
SuperST, a novel algorithm that employs a deep image prior to create dense matrices from low-resolution Spatial Transcriptomics (ST) libraries
DANCE: a deep learning library and benchmark platform for single-cell analysis
a scRNA-seq imputation method based on contrastive learning
[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
Self-supervised deep learning of gene-gene interactions for improved gene expression recovery
A graph attention-based embedding model for predicting TF-target gene interactions.
Twitter data scraping, embedding based image search and more.