Article

MELISSA: Semi-Supervised Embedding for Protein Function Prediction Across Multiple Networks

2023-08-13

Abstract excerpt

<h4>Motivation</h4> Several popular methods exist to predict function from multiple protein-protein association networks. For example, both the Mashup algorithm, introduced by Cho, Peng and Berger, and deepNF, introduced by Gligorijević, Barotand, and Bonneau, analyze the diffusion in each network first, to characterize the topological context of each node. In Mashup, the high-dimensional topological patterns in...

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Literature Corpus work: e26f0bd0-f94f-541a-9150-7d7b471fedb5
DOI: 10.1101/2023.08.09.552672

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