CoMM-BIP

A Contrastive Multi-Modal learning model with Biologically Informed Priors!

Info

Members (researchers): Ian Morilla

Research Groups: Plant-virus interaction, Machine Learning in Multi-Omics (MLiMO)

Contact Email: ian.morilla@ihsm.uma-csic.es

Tool Repository: https://github.com/MorillaLab/CoMM-BIP

Documentation: https://github.com/MorillaLab/CoMM-BIP/docs

Publications DOI: 10.5281/zenodo.16281075

Application domain:

Artificial Intelligence, Computational Methods, Computational models and simulations, Computational Techniques, Data Visualization, Metabolomics, Microbial communities, Resources, RNA Sequencing (RNA-seq), Systems Biology, Transcriptomics

Technical details
Type of application
Software compatibility
Hardware requirements
Programming language
Type of containerization
Wrapper type
Input file formats
Output file formats
Compatibility with other tools