bioRxivNeurosciencePreprint
A Bayesian Regularized and Anotation-Informed Integrative Analysis of Cognition (BRAINIAC)
Rong ZablockiiD, Bohan XuiD, Chun Chieh FaniD, Wesley Kurt ThompsoniD
Abstract
1Here we present a development of the novel Bayesian Regularized and Anotation-Informed Integrative Analysis of Cognition (BRAINIAC) model. BRAINIAC allows for both estimation of total variance explained by all features for a given cognitive phenotype, as well as a principled assessment of the impact of annotations on relative enrichment of features compared to others in terms of variance explained, without relying on a potentially unrealistic assumption of sparsity of brain-cognition associations. We apply the BRAINIAC model to resting state fMRI data from the Adolescent Brain Cognitive Development Study.
- organism: human
- assay: imaging
- research focus: dimensionality reduction
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: cell-cell communication
- approach: Bayesian inference
- Citations
- 1
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