Author

Elektra Schubert

The University of MelbourneORCID 0000-0003-4670-8234Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1

Frequent Co-Authors

Hinze HogendoorniD· 2 shared Stefan BodeiD· 2 shared Daniel FeuerriegeliD· 1 shared Daniel RosenblattiD· 1 shared Djamila ElibyiD· 1 shared Yoshihisa KashimaiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 12 mutual co-author links

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2 shared papersNeuroscience

Hinze HogendoornORCID

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2 papers

Recent·Most cited

NeuroscienceFrontiers in NeurosciencePeer-reviewedNov 3, 2022

Decoding continuous variables from event-related potential (ERP) data with linear support vector regression (SVR) using the Decision Decoding Toolbox (DDTBOX)

Stefan Bode, Elektra Schubert, Hinze Hogendoorn, Daniel Feuerriegel

This paper demonstrates the use of linear support vector regression (SVR) in the Decision Decoding Toolbox (DDTBOX) to predict continuous variables from ERP data, showing its effectiveness across various analysis parameters.

12 citations

electronic health recordsstatistical model

𝕏 PostBluesky

NeuroscienceNeuropsychologiaPeer-reviewedOct 4, 2021

Decoding explicit and implicit representations of health and taste attributes of foods in the human brain

Elektra Schubert, Daniel Rosenblatt, Djamila Eliby…·Stefan Bode

This study decodes health and taste representations from brain activity during food decision-making, showing health information is processed earlier than taste in implicit decisions.

30 citations

humanelectronic health records

𝕏 PostBluesky