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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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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Bentham Open
2012
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| 主題: | |
| オンライン･アクセス: | 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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