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GraphVar 2.0: A user-friendly toolbox for machine learning on functional connectivity measures

L Waller1, A Brovkin2, L Dorfschmidt2

  • 1Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Psychiatry and Psychotherapy, Division of Mind and Brain Research, Germany.

Journal of Neuroscience Methods
|July 21, 2018
PubMed
Abstract

Keywords:
Computational neuroscienceDecodingElastic netEncodingFunctional connectivityGraph theoryLinear SVMATLABMachine learningModel performanceNested Cross validationPrecision psychiatryReproducibilityToolbox

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