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A Bayesian Group Sparse Multi-Task Regression Model for Imaging Genetics
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A Bayesian Group Sparse Multi-Task Regression Model for Imaging Genetics

K. Greenlaw
E. Szefer
J. Graham
M. Lesperance
F. Nathoo
ArXiv (abs)PDFHTML

Papers citing "A Bayesian Group Sparse Multi-Task Regression Model for Imaging Genetics"

5 / 5 papers shown
Title
Neuroimaging Feature Extraction using a Neural Network Classifier for Imaging Genetics
Neuroimaging Feature Extraction using a Neural Network Classifier for Imaging Genetics
Cédric Beaulac
Sidi Wu
E. Gibson
Michelle F. Miranda
Jiguo Cao
Leno Rocha
M. Beg
F. Nathoo
MedIm
13
3
0
08 Jul 2022
Fast Markov chain Monte Carlo for high dimensional Bayesian regression models with shrinkage priors
Fast Markov chain Monte Carlo for high dimensional Bayesian regression models with shrinkage priors
Rui Jin
Aixin Tan
65
8
0
16 Mar 2019
Group-sparse SVD Models and Their Applications in Biological Data
Group-sparse SVD Models and Their Applications in Biological Data
Wenwen Min
Juan Liu
Shihua Zhang
54
3
0
28 Jul 2018
Bayesian Linear Regression for Multivariate Responses Under Group Sparsity
Bayesian Linear Regression for Multivariate Responses Under Group Sparsity
Bo Ning
Seonghyun Jeong
S. Ghosal
58
42
0
10 Jul 2018
Feature Learning and Classification in Neuroimaging: Predicting Cognitive Impairment from Magnetic Resonance Imaging
Feature Learning and Classification in Neuroimaging: Predicting Cognitive Impairment from Magnetic Resonance Imaging
Shan Shi
F. Nathoo
68
0
0
17 Jun 2018