Molecular Processing Made Easy.
- python
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- rdkit
- drug-discovery
Repository Index
55,640 visible repositories in the index
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Vision-Language Pathology Foundation Model - Nature Medicine
- bioimage-analysis
- bioimage-informatics
- conch
- foundation-model
Dicoogle - Open Source PACS
- dicoogle
- dicom
- pacs
- medical-imaging
A library provides spatial data and geometric algorithms
- geometry-library
- gis
- geospatial
- golang
[ICLR 2024] DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genome
- dataset
- dna
- dna-processing
- dna-training
SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
- huggingface
- bert
- chemical-modelling
- chemical-smiles-data
Graph-linked unified embedding for single-cell multi-omics data integration
- bioinformatics
- deep-learning
- single-cell
- single-cell-multiomics
Advanced date, time and interval library for Java with sun/moon-astronomy and calendars like Chinese, Coptic, Ethiopian, French Republican, Hebrew, Hijri, Historic Christian, Indian National, Japanese, Julian, Korean, Minguo, Persian, Thai, Vietnamese
- java
- time4j
- calendar
- interval
A thin layer of graphic data types
- graphics-library
- vector
- transformations
- matrix
Benchmarking analysis of data integration tools
The repository host gives no description.
Universal cheminformatics toolkit, utilities and database search tools
- indigo
- bingo
- cheminformatics
- chemistry
Reference mapping for single-cell genomics
- single-cell
- deep-learning
- rna-seq-analysis
- data-integration
A library designed to ease geographic coordinate format conversions, and determine sun/moon information in C#
- moon
- coordinates
- longitude
- latitude
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.
- artificial-intelligence
- clip
- pathology
- vision-and-language
Library for multiscale visualization of high-resolution multiplexed bioimaging data on the web. Directly renders Zarr and OME-TIFF.
- hubmap
- imaging
- openmicroscopy
- ome-tiff
UCE is a zero-shot foundation model for single-cell gene expression data
pyMOR - Model Order Reduction with Python
- python
- model-reduction
- model-order-reduction
- control-systems
Native R and Python sample-deletion robustness for omics: candidate certificates, minimum deletion bounds, Bioconductor model refits and donor-level pseudobulk
- bioinformatics
- exact-optimization
- metabolomics
- paired-data
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".
- imaging
- ai
- cloud-computing
- medical-imaging
Schema and generated objects for biolink data model and upper ontology
- biolink
- monarchinitiative
- gene-ontology
- datamodel
ChEMBL database structure pipelines
D3 plugin which computes a treemap based on a Voronoi tesselation