Official repository for the ProteinGym benchmarks
- benchmark
- computational-biology
- protein
- protein-design
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Official repository for the ProteinGym benchmarks
Tools for computational pathology
A dependency-free cross-platform swiss army knife for PDB files.
Parsers and algorithms for computational chemistry logfiles
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
Collection of self-contained header-only libraries for C++17
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".
Schema and generated objects for biolink data model and upper ontology
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome
A C# DICOM Library
AI-based pathology predicts origins for cancers of unknown primary - Nature
PhyloNetworks: a julia package with utilities for phylogenetic networks
Interoperable web-based DICOM slide microscopy viewer and annotation tool
🏃 The go-to single-cell Foundation Model
The Next Generation Logic Library
⚡ Open-source software for deep learning-based digital pathology
Python package for image-based profiling
Axon/Myelin segmentation using Deep Learning
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
NeuroAnatomy Toolbox: An R package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons.
PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
A set of protocols for Arithmetic, Statistics and Logical operations