bowang-lab / BLEEPLinks
Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive Learning
☆81Updated 10 months ago
Alternatives and similar repositories for BLEEP
Users that are interested in BLEEP are comparing it to the libraries listed below
Sorting:
- Her2 Breast Cancer Project☆84Updated 2 years ago
- PyTorch implementation of HisToGene☆42Updated 3 years ago
- Deep learning on histopathology images.☆127Updated 3 years ago
- ☆93Updated 2 months ago
- ☆45Updated 3 years ago
- ☆72Updated 3 months ago
- ☆42Updated 4 months ago
- Integrating histology and spatial transcriptomics - NeurIPS 2024☆299Updated 3 weeks ago
- Code for the THItoGene☆24Updated 4 months ago
- ☆140Updated 8 months ago
- ☆14Updated last month
- [ICLR 2025] Stem: Gene Expression Inference from Histology Images☆36Updated 4 months ago
- ☆16Updated 4 months ago
- Train a model to predict gene expression from histology slides.☆106Updated 3 years ago
- Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications☆58Updated last year
- Self-supervised representation learning combining GTEx histology, RNA-seq and WGS☆30Updated 4 months ago
- Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction☆17Updated last year
- A Transformer Model Exploiting Histology Images and Spatial Gene Expression☆21Updated 5 months ago
- Code for ST_IGI package☆30Updated last month
- ☆11Updated 6 months ago
- Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.☆42Updated 8 months ago
- A generative toolkit to translate H&E images to multiplexed IHC☆49Updated 8 months ago
- mclSTExp: Multimodal Contrastive Learning for Spatial Gene Expression Prediction Using Histology Images☆38Updated 7 months ago
- SEQUOIA: Digital profiling of cancer transcriptomes with grouped vision attention☆42Updated 2 months ago
- First commit☆62Updated 3 years ago
- Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell☆224Updated 2 years ago
- Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis☆77Updated 4 years ago
- sc-MTOP is an analysis framework based on deep learning and computational pathology. This framework aims to characterize the tumor ecosys…☆38Updated 3 months ago
- A novel method named stDiff investigates the potential of employing diffusion models for single-cell omics generation.☆22Updated last year
- Transcriptomics-guided Slide Representation Learning in Computational Pathology - CVPR 2024☆105Updated 10 months ago