Stars
Cell clustering for spatial transcriptomics data with graph neural network
zhanglabtools / STAligner
Forked from zhoux85/STAlignerSTAligner: Integrating spatial transcriptomics data across different conditions, technologies, and developmental stages
A curated list of awesome Machine Learning frameworks, libraries and software.
freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.
Splotch is a hierarchical generative probabilistic model for analyzing Spatial Transcriptomics (ST) data
tutorials for spateo package
Spatiotemporal modeling of spatial transcriptomics
This repository is an exploratory resource to accelerate opensource analysis of CosMx® Spatial Molecular Imager (SMI) data. Contained here are and writeups and vignettes addressing a variety of top…
HEARTSVG: a high-efficiency and robust method for identifying spatial expression patterns in large-scale spatial transcriptomic data
Image filters for digital pathology: detect pen marks, background, and artifacts. Use them for preprocessing towards deep learning
[ISBI 2023] Official Pytorch implementation of "CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network"
Pathology Foundation Model - Nature Medicine
deep learning for image processing including classification and object-detection etc.
⚡ A curated list of awesome Zotero resources
📊 A universal enrichment tool for interpreting omics data
SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.
Code for reproducing the analysis in Gavish et al. "The transcriptional hallmarks of intra-tumor heterogeneity across a thousand tumors".