Datasets and code for evaluation of protein-protein interaction network protein function prediction algorithms

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Authors: Piyatissa, Malimboda Arachchige Senuri Udara, Fernando, Pasan, Tirimanne, Shamala, Weeraman, Janith
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Abstract

These datasets and code were used to evaluate seven network-based protein function prediction algorithms (majority voting, hishigaki method, markov random fields, random walk, random walk with restart, personalized page rank, and deepNF) on six plant protein-protein interaction networks (Arabidopsis thaliana, Oryza sativa japonica, Zea mays, Solanum tuberosum, Glycine max, and Medicago truncatula).

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
14 February 2026