Machine Learning for Genomic Medicine

Machine Learning and Big Data Analytics play a key role in the analysis of complex and big omics data for medical diagnoses tailored to the biomolecular characteristics of each patient, and for the design of precise therapies targeted to the unique genetic features of each person.

Research areas

Our research in this area can be summarized as follows:

• Detection of pathogenic variants in the non coding human genome
• high-performance Computing for big omics data analysis
• Genome-wide prediction of tissue-specific regulatory regions