Patient Similarity Networks Integration for Partial Multimodal Datasets

Jessica Gliozzo, Jessica Gliozzo, Alex Patak, Antonio Puertas-Gallardo, Elena Casiraghi, Giorgio Valentini, Giorgio Valentini

2023

Abstract

Integration of partial samples in Patients Similarity Networks, i.e. the combination of multiple data sources when some of them are completely missing in some samples, is a largely overlooked problem in the multi-omics data integration literature for Precision Medicine. Nevertheless in clinical practice it is quite usual that one or more types of data are missing for a subset of patients. We present an algorithm able to combine multiple sources of data in Patients Similarity Networks when data of one or more sources are completely missing for a subset of patients. The proposed approach relies on a message-passing learning strategy to recover and combine completely missing data leveraging the Similarity Network Fusion algorithm. Preliminary results on TCGA breast cancer data show the effectiveness of the proposed approach.

Paper Citation

in Harvard Style

Gliozzo J., Patak A., Puertas-Gallardo A., Casiraghi E. and Valentini G. (2023). Patient Similarity Networks Integration for Partial Multimodal Datasets. In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 3: BIOINFORMATICS; ISBN 978-989-758-631-6, SciTePress, pages 228-234. DOI: 10.5220/0011725500003414

in Bibtex Style

@conference{bioinformatics23,
author={Jessica Gliozzo and Alex Patak and Antonio Puertas-Gallardo and Elena Casiraghi and Giorgio Valentini},
title={Patient Similarity Networks Integration for Partial Multimodal Datasets},
booktitle={Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 3: BIOINFORMATICS},
year={2023},
pages={228-234},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011725500003414},
isbn={978-989-758-631-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 3: BIOINFORMATICS
TI - Patient Similarity Networks Integration for Partial Multimodal Datasets
SN - 978-989-758-631-6
AU - Gliozzo J.
AU - Patak A.
AU - Puertas-Gallardo A.
AU - Casiraghi E.
AU - Valentini G.
PY - 2023
SP - 228
EP - 234
DO - 10.5220/0011725500003414
PB - SciTePress