A variant of sparse partial least squares for variable selection and data exploration-Reference-Cited by-同舟云学术

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A variant of sparse partial least squares for variable selection and data exploration

Published:2014 Issue: Volume:8 Page:
ISSN:1662-5196
Container-title:Frontiers in Neuroinformatics
language:
Short-container-title:Front. Neuroinform.

Author:

Olson Hunt Megan J.,Weissfeld Lisa,Boudreau Robert M.,Aizenstein Howard,Newman Anne B.,Simonsick Eleanor M.,Van Domelen Dane R.,Thomas Fridtjof,Yaffe Kristine,Rosano Caterina

Publisher

Frontiers Media SA

Subject

Computer Science Applications,Biomedical Engineering,Neuroscience (miscellaneous)

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Canonical Correlation Analysis and Partial Least Squares for Identifying Brain–Behavior Associations: A Tutorial and a Comparative Study;Biological Psychiatry: Cognitive Neuroscience and Neuroimaging;2022-11

2. Multiple Holdouts With Stability: Improving the Generalizability of Machine Learning Analyses of Brain–Behavior Relationships;Biological Psychiatry;2020-02

3. Efficient Reconstructions of Common Era Climate via Integrated Nested Laplace Approximations;Journal of Agricultural, Biological and Environmental Statistics;2019-07-22

4. Characterising the grey matter correlates of leukoaraiosis in cerebral small vessel disease;NeuroImage: Clinical;2015

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