Author

Antti Airola

University of TurkuORCID 0000-0002-1010-4386Unclaimed 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· 2 Research Focus:differential expression· 2 Approach:machine learning (classical)· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Organism:human· 1

Frequent Co-Authors

Ilkka SuuroneniD· 2 shared Tapio PahikkalaiD· 2 shared Aaron BarroniD· 1 shared Ashmeet JollyiD· 1 shared Aylin RosbergiD· 1 shared Bernard De Baets CiD· 1 shared Elena VartiaineniD· 1 shared Elmo P. PulliiD· 1 shared

Activity by Year

2018-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersNeuroscience

Ilkka SuuronenORCID

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3 papers

Recent·Most cited

skiftiTools: An R package for reading, writing, analysing, and visualising, tract-based spatial statistics (TBSS) derived diffusion MR images

Jetro J. Tuulari, Aaron Barron, Ashmeet Jolly, Ilkka Suuronen, Hilyatushalihah Kholis Audah, Aylin Rosberg, Isabella Lucia Chiara Mariani Wigley, Elena Vartiainen, Silja Luotonen, Elmo P. Pulli, Hasse Karlsson, Riikka Korja, Linnéa Karlsson, Antti Airola, Jakob Seidlitz, , Harri Merisaari

skiftiTools enables statistical analysis and visualization of TBSS-derived diffusion MRI data using R, supporting advanced modeling and data manipulation.

bioRxiv · Oct 26, 2025 · PreprintNeuroscience

Resting state EEG as a biomarker of Parkinson's disease: Influence of measurement conditions

Henry Railo, Ilkka Suuronen, Valtteri Kaasinen, Mika Murtojärvi, Tapio Pahikkala, Antti Airola

This study evaluates the use of resting state EEG for Parkinson's disease classification, finding that fewer electrodes and open-eye conditions improve accuracy.

IEEE Journal of Biomedical and Health Informatics · Jan 9, 2023Peer-reviewedNeuroscience

Algebraic Shortcuts for Leave-One-Out Cross-Validation in Supervised Network Inference

Michiel Stock, Tapio Pahikkala, Antti Airola, Willem Waegeman, Bernard De Baets C

The paper introduces algebraic shortcuts for leave-one-out cross-validation to evaluate kernel-based network inference methods efficiently.

Briefings in Bioinformatics · Sep 10, 2018Peer-reviewedSystems Biology