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Predicting gene functions by integrating large-scale biological data remains a challenge for systems biology. Here we present a resource for Drosophila melanogaster gene function predictions. We trained function-specific classifiers to optimize the influence of different biological datasets for each functional category. Our model predicted GO terms and KEGG pathway memberships for Drosophila melanogaster genes with high accuracy, as affirmed by cross-validation, supporting literature evidence,doi:10.1371/journal.pone.0012139 pmid:20711346 pmcid:PMC2920829 fatcat:o2yowefp25cj7esemzczapu7oi