Computational approaches for the integration of multi-omics data
The project aims to develop effective and novel computational methods for multi-omics data integration, combining statistical methods, optimization approaches, and matrix factorization to exploit the latest research results.
More in details
Aim 1: Develop novel computational methods for multi-omics data integration,
Aim 2: Release open-source packages implementing the proposed methodologies,
Aim 3: Use the proposed methodologies (together with existing approaches) to analyze case studies in cell development and cancer,
Aim 4: Disseminate and discuss within the scientific community the proposed approaches and the findings emerging from the analysis of the case study.
The project is coordinated by Prof. Nicoletta Del Buono from the Department of Mathematics at the University of Bari.
This project is funded by European Union - Next Generation EU, within the PRIN 2022 PNRR program (D.D. 1409 del 14/09/2022 Ministero dell’Università e della Ricerca) within the PRIN 2022 PNRR call - Decreto Direttoriale n. 1409 del 14-9-2022 Ministero dell’Università e della Ricerca. (CUP-CNR B53D23027810001)
