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Combining Graph and Machine Learning Methods to Analyze Differences in Functional Connectivity Across Sex
In this work we combine machine learning methods and graph theoretical analysis to investigate gender associated differences in resting state brain network connectivity. The set of all correlations computed from the fMRI resting state data is used as input features for classification. Two ensemble l...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Bentham Open
2012
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3271304/ https://ncbi.nlm.nih.gov/pubmed/22312418 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2174/1874440001206010001 |
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