Integrating fMRI and SNP data for biomarker identification for schizophrenia with a sparse representation based variable selection method

被引：0
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作者：
Hongbao Cao
Junbo Duan
Dongdong Lin
Vince Calhoun
Yu-Ping Wang
机构：
[1] NIMH/NIH,Unit on Statistical Genomics
[2] Tulane University,Department of Biomedical Engineering
[3] Tulane University,Department of Biostatistics & Bioinformatics
[4] The Mind Research Network,undefined
[5] Department of Electrical and Computer Engineering at the University of New Mexico,undefined
来源：
BMC Medical Genomics | / 6卷
关键词：
Sparse Representation; fMRI Data; High Classification Accuracy; Restricted Isometry Property; Sparse Model;
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