Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease
Sign Up to like & getrecommendations! Published in 2020 at "Medical image analysis"
DOI: 10.1016/j.media.2020.101652
Abstract: Detection of early stages of Alzheimer's disease (AD) (i.e., mild cognitive impairment (MCI)) is important to maximize the chances to delay or prevent progression to AD. Brain connectivity networks inferred from medical imaging data have… read more here.
Keywords: multi task; brain network; network estimation; task learning ... See more keywords
NExUS: Bayesian simultaneous network estimation across unequal sample sizes
Sign Up to like & getrecommendations! Published in 2020 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btz636
Abstract: MOTIVATION Network-based analyses of high-throughput genomics data provide a holistic, systems-level understanding of various biological mechanisms for a common population. However, when estimating multiple networks across heterogeneous sub-populations, varying sample sizes pose a challenge in… read more here.
Keywords: sample; network; estimation across; network estimation ... See more keywords