mahmoodlab / MAPSLinks
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
☆63Updated last year
Alternatives and similar repositories for MAPS
Users that are interested in MAPS are comparing it to the libraries listed below
Sorting:
- Accessible and interoperable whole slide image analysis☆173Updated this week
- ☆157Updated last year
- Sub-cellular spatial transcriptomics Cell Segmentation☆68Updated 2 years ago
- ☆28Updated 9 months ago
- Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis☆77Updated 5 years ago
- ☆35Updated this week
- Biologically-informed deep learning for cell segmentation of subcelluar spatial transcriptomics data☆46Updated last year
- MUSE is a deep learning approach characterizing tissue composition through combined analysis of morphologies and transcriptional states f…☆37Updated 3 years ago
- Her2 Breast Cancer Project☆92Updated 3 years ago
- Integrated pipeline for multiplexed image analysis☆101Updated last week
- Self-supervised representation learning combining GTEx histology, RNA-seq and WGS☆33Updated 9 months ago
- ☆53Updated 3 years ago
- SEQUOIA: Digital profiling of cancer transcriptomes with grouped vision attention☆46Updated 7 months ago
- A visual–omics foundation model to bridge histopathology with spatial transcriptomics☆123Updated 7 months ago
- ☆59Updated 11 months ago
- Super-resolved spatial transcriptomics by deep data fusion☆73Updated 2 years ago
- ☆59Updated 3 months ago
- Deep learning on histopathology images.☆140Updated 4 years ago
- ☆69Updated 11 months ago
- Multiple-choice microscopy pipeline☆144Updated last month
- GrandQC tool for tissue detection and quality control in pathology☆76Updated 2 weeks ago
- DeepSpot: Leveraging Spatial Context for Enhanced Spatial Transcriptomics Prediction from H&E Images☆63Updated 2 weeks ago
- ☆18Updated last month
- TissUUmaps is a browser-based tool for fast visualization and exploration of millions of data points overlaying a tissue sample. TissUUma…☆66Updated last month
- ☆15Updated 2 months ago
- An introduction to deepcell and deep learning☆155Updated last year
- Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive Learning☆83Updated last year
- Feature extraction from GEOJson nuclei and tissue segmentation maps☆16Updated 6 months ago
- Train a model to predict gene expression from histology slides.☆111Updated 3 years ago
- version 1 scripts for CODA☆59Updated last year