vanvalenlab / publication-figures
Scripts capable of re-creating figures from Van Valen Lab publications
☆18Updated 2 years ago
Alternatives and similar repositories for publication-figures:
Users that are interested in publication-figures are comparing it to the libraries listed below
- Sub-cellular spatial transcriptomics Cell Segmentation☆64Updated last year
- Self-supervised representation learning combining GTEx histology, RNA-seq and WGS☆29Updated 2 weeks ago
- Biologically-informed deep learning for cell segmentation of subcelluar spatial transcriptomics data☆43Updated 9 months ago
- deep learning pipeline repository for the paper "Geospatial immune variability illuminates differential evolution of lung adenocarcinoma…☆52Updated 4 years ago
- The Single-Cell Pathology Landscape of Breast Cancer☆26Updated 5 years ago
- Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications☆53Updated last year
- version 1 scripts for CODA☆44Updated 11 months ago
- ☆40Updated 2 years ago
- Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis☆76Updated 4 years ago
- QuST: QuPath Extension for Integrative Whole Slide Image and Spatial Transcriptomics Analysis☆22Updated 4 months ago
- ☆31Updated 4 years ago
- ☆22Updated 2 years ago
- ☆11Updated 5 years ago
- Spatial Transcriptomics Quantification pipeline for 10x Visium and H&E-stained whole slide images☆18Updated 2 months ago
- Her2 Breast Cancer Project☆71Updated 2 years ago
- A pan-cancer platform for mutation prediction from routine histology☆68Updated 3 years ago
- Code for ST_IGI package☆25Updated 5 months ago
- ☆12Updated 7 months ago
- ☆14Updated 2 weeks ago
- Morphology-Enhanced Spatial Transcriptome Analysis Integrator☆25Updated last month
- sc-MTOP is an analysis framework based on deep learning and computational pathology. This framework aims to characterize the tumor ecosys…☆33Updated 5 months ago
- ☆14Updated 3 years ago
- SEQUOIA: Digital profiling of cancer transcriptomes with grouped vision attention☆38Updated last month
- MUSE is a deep learning approach characterizing tissue composition through combined analysis of morphologies and transcriptional states f…☆34Updated 2 years ago
- ☆30Updated 4 months ago
- ☆35Updated last year
- ☆15Updated last year
- A pixel classification based multiplexed image segmentation pipeline☆93Updated last year
- Deep learning on histopathology images.☆117Updated 3 years ago
- PyTorch implementation of HisToGene☆38Updated 3 years ago