Neuroimaging feature extraction using a neural network classifier for imaging genetics

[1] Jinhua S(2022)Predictive classification of Alzheimer’s disease using brain imaging and genetic data Sci Rep 12 2405-92

[2] Yu X(2012)The future of fMRI and genetics research NeuroImage 62 1286-136

[3] Qiao Z(2012)Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning Bioinformatics 28 127-237

[4] Luyun W(2012)Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort Bioinformatics 28 229-2522

[5] Ze Y(2017)A Bayesian group sparse multi-task regression model for imaging genetics Bioinformatics 33 2513-1159

[6] Jie Y(2010)Discovering genetic associations with high-dimensional neuroimaging phenotypes: a sparse reduced-rank regression approach Neuroimage 53 1147-990

[7] Meyer-Lindenberg A(2014)Bayesian generalized low rank regression models for neuroimaging phenotypes and genetic markers J Am Stat Assoc 109 977-1891

[8] Wang H(2011)Voxelwise gene-wide association study (vGeneWAS): multivariate gene-based association testing in 731 elderly subjects Neuroimage 56 1875-1174

[9] Nie F(2010)Voxelwise genome-wide association study (vGWAS) NeuroImage 53 1160-873

[10] Huang H(2012)Increasing power for voxel-wise genome-wide association studies: the random field theory, least square kernel machines and fast permutation procedures Neuroimage 63 858-514

[1] Jinhua S(2022)Predictive classification of Alzheimer’s disease using brain imaging and genetic data Sci Rep 12 2405-92

[2] Yu X(2012)The future of fMRI and genetics research NeuroImage 62 1286-136

[3] Qiao Z(2012)Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning Bioinformatics 28 127-237

[4] Luyun W(2012)Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort Bioinformatics 28 229-2522

[5] Ze Y(2017)A Bayesian group sparse multi-task regression model for imaging genetics Bioinformatics 33 2513-1159

[6] Jie Y(2010)Discovering genetic associations with high-dimensional neuroimaging phenotypes: a sparse reduced-rank regression approach Neuroimage 53 1147-990

[7] Meyer-Lindenberg A(2014)Bayesian generalized low rank regression models for neuroimaging phenotypes and genetic markers J Am Stat Assoc 109 977-1891

[8] Wang H(2011)Voxelwise gene-wide association study (vGeneWAS): multivariate gene-based association testing in 731 elderly subjects Neuroimage 56 1875-1174

[9] Nie F(2010)Voxelwise genome-wide association study (vGWAS) NeuroImage 53 1160-873

[10] Huang H(2012)Increasing power for voxel-wise genome-wide association studies: the random field theory, least square kernel machines and fast permutation procedures Neuroimage 63 858-514