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2023 | OriginalPaper | Buchkapitel

Using the Duplication-Divergence Network Model to Predict Protein-Protein Interactions

verfasst von : Nicolás López-Rozo, Jorge Finke, Camilo Rocha

Erschienen in: Complex Networks and Their Applications XI

Verlag: Springer International Publishing

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Abstract

Interactions between proteins are key to most biological processes, but thorough testing can be costly in terms of money and time. Computational approaches for predicting such interactions are an important alternative. This study presents a novel approach to this prediction using calibrated synthetic networks as input for training a decision tree ensemble model with relevant topological information. This trained model is later used for predicting interactions on the human interactome, as a case study. Results show that deterministic metrics perform better than their stochastic counterparts, although a random forest model shows a feature combination case with comparable precision results.

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Metadaten
Titel
Using the Duplication-Divergence Network Model to Predict Protein-Protein Interactions
verfasst von
Nicolás López-Rozo
Jorge Finke
Camilo Rocha
Copyright-Jahr
2023
DOI
https://doi.org/10.1007/978-3-031-21127-0_27

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