Author

Tapio Salakoski

University of Turku

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

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 Kai HakalaiD· 1 shared Martti E. E. TolvaneniD· 1 shared Suwisa KaewphaniD· 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

Neural network and random forest models in protein function prediction

Kai Hakala, Suwisa Kaewphan, Jari Björne, Farrokh Mehryary, Hans Moen, Martti E. E. Tolvanen, Tapio Salakoski, 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.

IEEE Transactions on Computational Biology and Bioinformatics · Dec 11, 2020Peer-reviewedBioinformatics