TY - GEN
T1 - Sparse representation based biomarker selection for schizophrenia with integrated analysis of fMRI and SNP data
AU - Cao, Hongbao
AU - Duan, Junbo
AU - Lin, Dongdong
AU - Calhoun, Vince
AU - Wang, Yu Ping
PY - 2013
Y1 - 2013
N2 - We propose a novel sparse representation based variable selection algorithm (SRVS), which improves the variable selection ability of a traditional sparse regression model in that it performs variable selection at different significance levels, and gives groups of selected variables of different sizes. As an example, we applied the algorithm to a joint analysis of 759075 SNPs and 153594 functional magnetic resonance imaging (fMRI) voxels in 208 subjects (92 cases/116 controls) to identify biomarkers for schizophrenia (SZ). To evaluate the selected biomarkers, a 10-fold cross validation was performed. The results between SRVS method and a previously reported variable selection method were compared, which showed that our method, especially with a sparse regression model penalized with L1/2 norm, gave significantly higher classification accuracy of discriminating SZ patients from healthy controls.
AB - We propose a novel sparse representation based variable selection algorithm (SRVS), which improves the variable selection ability of a traditional sparse regression model in that it performs variable selection at different significance levels, and gives groups of selected variables of different sizes. As an example, we applied the algorithm to a joint analysis of 759075 SNPs and 153594 functional magnetic resonance imaging (fMRI) voxels in 208 subjects (92 cases/116 controls) to identify biomarkers for schizophrenia (SZ). To evaluate the selected biomarkers, a 10-fold cross validation was performed. The results between SRVS method and a previously reported variable selection method were compared, which showed that our method, especially with a sparse regression model penalized with L1/2 norm, gave significantly higher classification accuracy of discriminating SZ patients from healthy controls.
KW - fMRI
KW - schizophrenia
KW - SNP
KW - Sparse representations
KW - Variable selection
UR - http://www.scopus.com/inward/record.url?scp=84881623708&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2013.6556585
DO - 10.1109/ISBI.2013.6556585
M3 - Contribución a la conferencia
AN - SCOPUS:84881623708
SN - 9781467364546
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 756
EP - 759
BT - ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging
T2 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013
Y2 - 7 April 2013 through 11 April 2013
ER -