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2023 | OriginalPaper | Buchkapitel

COMBO: A Computational Framework to Analyze RNA-seq and Methylation Data Through Heterogeneous Multi-layer Networks

verfasst von : Ilaria Cosentini, Vincenza Barresi, Daniele Filippo Condorelli, Alfredo Ferro, Alfredo Pulvirenti, Salvatore Alaimo

Erschienen in: Complex Networks and Their Applications XI

Verlag: Springer International Publishing

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Abstract

Multi-layer Complex networks are commonly used for modeling and analysing biological entities. This paper presents a new computational framework called COMBO (Combining Multi Bio Omics) for generating and analyzing heterogeneous multi-layer networks. Our model uses gene expression and DNA-methylation data. The power of COMBO relies on its ability to join different omics to study the complex interplay between various components in the disease. We tested the reliability and versatility of COMBO on colon and lung adenocarcinoma cancer data obtained from the TCGA database.

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Titel: COMBO: A Computational Framework to Analyze RNA-seq and Methylation Data Through Heterogeneous Multi-layer Networks
verfasst von: Ilaria Cosentini
Vincenza Barresi
Daniele Filippo Condorelli
Alfredo Ferro
Alfredo Pulvirenti
Salvatore Alaimo
Verlag: Springer International Publishing
Buch: Complex Networks and Their Applications XI
Print ISBN: 978-3-031-21126-3

Electronic ISBN: 978-3-031-21127-0

Copyright-Jahr: 2023
DOI: https://doi.org/10.1007/978-3-031-21127-0_21

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