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URL: https://github.com/hpardoe/napr/
Proper Citation: NAPR: Neuroanatomical Age Prediction using R (RRID:SCR_015759)
Description: Cloud-based framework that allows users to estimate the age of individual subjects using cortical thickness maps derived from their own locally processed T1-weighted whole brain MRI scans. The provided age prediction models were trained using (i) relevance vector machines and (ii) Gaussian processes machine learning methods applied to cortical thickness surfaces obtained using Freesurfer v5.3.
Abbreviations: NAPR
Synonyms: Neuroanatomical Age Prediction using R
Resource Type: storage service resource, data repository, service resource
Defining Citation: DOI:10.1101/099309
Keywords: neuroanatomy, prediction, r, neuroimaging, mri scan, cortical thickness, relevance vector
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
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