Research Group

Detalle de: Machine Learning in Multi-Omics (MLiMO)

Title	Machine Learning in Multi-Omics (MLiMO)
Description	At MLiMO, we harness advanced machine learning and integrative multi-omics approaches to unravel the complexity of biological systems. Our interdisciplinary research spans from fundamental questions in tumour micro-environments to dynamic modelling in plant and human diseases. Through robust data-driven methodologies, we uncover the principles that orchestrate life’s molecular networks—translating insights into advances for precision medicine, sustainable agriculture, and beyond.
Home Page	https://mlimowebsite.faculty.bio/
Contact Email	ian.morilla@ihsm.uma-csic.es
Collaborating Companies
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Patents	Methods for predicting acute severe colitis treatment response (Medical Kits), 17340534-Issued. Methods for predicting acute severe colitis treatment response (DeepCol Software), US11060147B2-Issued.
Hpc Resources
Institution	IHSM
Ontology	Omics, Computational Methods, Data Analysis, Artificial Intelligence, Machine Learning in Biology, Applications of Computational Biology, Large language models, Functional genomics, Function prediction, Computational models and simulations, Gene regulatory networks, Personal medicine, Systems Biology, Integrative Analysis, Regulatory biology, Statistical Methods for Biology, Pathway analysis, Plant genomics, Network Biology, Microbial communities, Deep Learning in Biology, Clinical data, Spatial transcriptomics
Tools	S²-PepAnalyst, TaelCore, CoMM-BIP, GeoTop
Service Units
Research Lines	Topological Machine Learning, Machine Learning & Deep Learning in Biology, Multi-omics Integration, Tumour/Virus/Bac Microenvironments, Translational Applications in the global LIfE area
Funded Projects	Decoding vector-induced gene regulation in plant-insect-virus causal diagrams, Charting the shared basis of Cancer, Autoimmune, and Cardiovascular diseases using multi-scale Topology and Optimal Transport, TRANSCEND-ID. Approches intégratives d’Intelligence Artificielle et de la biologie pour la modélisation de l'inflammation chronique, Computational identification of small signalling peptides, MMD-LLC
Selected Publications	Novel dimensionality reduction method, Taelcore, enhances lung transplantation risk prediction Software · Feb 2024 Plasma proteome dynamics of COVID-19 severity learnt by a graph convolutional network of multi-scale topology Article · 20 Feb 2023 Personalized risk predictor for acute cellular rejection in lung transplant using soluble CD31 Article · 21 Oct 2022 Deciphering the Dynamic Molecular Program of Radiation-Induced Endothelial Senescence Article · Mar 2022 Deep models of integrated multiscale molecular data decipher the endothelial cell response to ionizing radiation Article · Jan 2022 View all (4 more) A deep learning approach to evaluate intestinal fibrosis in magnetic resonance imaging models Article · 16 Mar 2020 Colonic MicroRNA Profiles, Identified by a Deep Learning Algorithm, That Predict Responses to Therapy of Patients With Acute Severe Ulcerative Colitis Article · Apr 2019 Male sex in houseflies is determined by Mdmd, a paralog of the generic splice factor gene CWC22 Article · 12 May 2017 GeoTop: Advancing Image Classification with Geometric-Topological Analysis Article
Researchers	Ian Morilla

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