Title: SVM code for article: Support vector machine based aphasia classification of transcranial magnetic stimulation language mapping in brain tumor patients.
Type Software Ziqian Wang, Lucius Samo Fekonja, Felix Dreyer, Peter Vajkoczy, Thomas Picht (2020): SVM code for article: Support vector machine based aphasia classification of transcranial magnetic stimulation language mapping in brain tumor patients.. Zenodo. Software. https://zenodo.org/record/3967287
Links
- Item record in Zenodo
- Digital object URL
Summary
Here we publish the SVM code used in our analysis of transcranial magnetic stimulation for object naming with machine learning classification shows reorganisation patterns in tumor patients article.
More information
- DOI: 10.5281/zenodo.3967287
- Language: en
Subjects
- SVM, Machine Learning, TMS, Language mapping, Tumor
Dates
- Publication date: 2020
- Issued: March 26, 2020
Notes
Other: The authors acknowledge the support of the Cluster of Excellence Matters of Activity. Image Space Material funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany´s Excellence Strategy – EXC 2025.Rights
- https://creativecommons.org/licenses/by/4.0/legalcode Creative Commons Attribution 4.0 International
- info:eu-repo/semantics/openAccess Open Access
Format
electronic resource
Relateditems
| Description | Item type | Relationship | Uri |
|---|---|---|---|
| Cites | https://github.com/faruto/Libsvm-FarutoUltimate-Version/blob/master/Libsvm-FarutoUltimate%20V3.1/matlab-implement%5Bby%20faruto%5D/SVR_test.m | ||
| IsVersionOf | https://doi.org/10.5281/zenodo.3727663 | ||
| IsPartOf | https://zenodo.org/communities/neuroinformatics | ||
| IsPartOf | https://zenodo.org/communities/zenodo |