Author

Kai Hakala

University of TurkuORCID 0000-0001-8943-7011Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Farrokh MehryaryiD· 1 shared Filip GinteriD· 1 shared Hans MoeniD· 1 shared Jari BjörneiD· 1 shared Martti E. E. TolvaneniD· 1 shared Suwisa KaewphaniD· 1 shared Tapio Salakoski· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Farrokh MehryaryORCID

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1 paper

Recent·Most cited

BioinformaticsIEEE Transactions on Computational Biology and BioinformaticsPeer-reviewedDec 11, 2020

Neural network and random forest models in protein function prediction

Kai Hakala, Suwisa Kaewphan, Jari Björne…·Filip Ginter

The paper develops an ensemble system combining random forest and neural network models to predict protein functions using sequence and taxonomic features, showing competitive performance in CAFA3 evaluations.

29 citations

protein sequencemachine learning (classical)

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