mwoedlinger / flowformerLinks
Official implementation of our work: "Automated Identification of Cell Populations in Flow Cytometry Data with Transformers"
☆15Updated 2 years ago
Alternatives and similar repositories for flowformer
Users that are interested in flowformer are comparing it to the libraries listed below
Sorting:
- ☆16Updated 4 years ago
- Multi-task deep learning framework for multi-omics data analysis☆48Updated 3 years ago
- ☆51Updated 3 years ago
- ☆67Updated 10 months ago
- ☆44Updated last year
- ☆56Updated 3 years ago
- Multiple instance learning library for Python☆64Updated 4 years ago
- Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications☆62Updated last year
- Deep learning on histopathology images.☆136Updated 4 years ago
- SALMON: Survival Analysis Learning with Multi-Omics Neural Networks☆67Updated last year
- Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive Learning☆82Updated last year
- Tool to create images and configuration files for Minerva-Story☆16Updated 3 weeks ago
- ☆11Updated 5 years ago
- DLBCL-Morph dataset containing high resolution tissue microarray scans from 209 DLBCL cases, with geometric features computed using deep …☆38Updated 5 years ago
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆77Updated last year
- MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in…☆172Updated 4 years ago
- MUSE is a deep learning approach characterizing tissue composition through combined analysis of morphologies and transcriptional states f…☆37Updated 3 years ago
- P-NET, Biologically informed deep neural network for prostate cancer classification and discovery☆165Updated 4 years ago
- ☆78Updated 7 months ago
- scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks☆153Updated last year
- Data and code to accompany our Nature publication☆48Updated 3 years ago
- End-to-end deep learning model for low dimensional latent space extraction and multi-class classification on multi-omics datasets.☆34Updated 4 years ago
- Experimental evaluation and comparison of multi-omics data integration methods for cancer subtyping☆14Updated 4 years ago
- Learning image representations for anomaly detection: application to discovery of histological alterations in drug development☆20Updated last year
- ☆70Updated 2 years ago
- Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis☆54Updated 6 months ago
- ☆25Updated 8 months ago
- Morphological profiling using deep learning☆124Updated last year
- Mixture-of-Experts Variational Autoencoder for Clustering and Generating from Similarity-Based Representations on Single Cell Data☆14Updated 4 years ago
- A Transformer Model Exploiting Histology Images and Spatial Gene Expression☆22Updated 9 months ago