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
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bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
Graph-linked unified embedding for single-cell multi-omics data integration
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
A thin layer of graphic data types
Benchmarking analysis of data integration tools
Universal cheminformatics toolkit, utilities and database search tools
Reference mapping for single-cell genomics
A library designed to ease geographic coordinate format conversions, and determine sun/moon information in C#
Library for multiscale visualization of high-resolution multiplexed bioimaging data on the web. Directly renders Zarr and OME-TIFF.
UCE is a zero-shot foundation model for single-cell gene expression data
pyMOR - Model Order Reduction with Python
Native R and Python sample-deletion robustness for omics: candidate certificates, minimum deletion bounds, Bioconductor model refits and donor-level pseudobulk
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
ChEMBL database structure pipelines
Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome
D3 plugin which computes a treemap based on a Voronoi tesselation
Umbrella package of the 'spatstat' family................
A Python package for the identification, characterization and comparison of spatial clusters from spatial -omics data.
Free (GPL) Common Lisp data analysis library with emphasis on modularity and conceptual clarity.
A Python package for molecular docking with an extensive, highly-curated dataset and a set of realistic benchmark tasks for drug discovery.
scPerturb: A resource and a python/R tool for single-cell perturbation data
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.