HDBIG-SR

HDBIG-SR is an HDBIG toolkit focusing on Sparse Regression. The current version includes matlab implementation of five sparse regression models. They can be applied to examine the association between genetic variations and imaging phenotypes.

HDBIG-SR v1.0.0 is released: Download, Documentation (PDF)

References

Yan J, Huang H, Kim S, Moore JH, Saykin AJ, Shen L, for the ADNI (2014) Joint identification of imaging and proteomics biomarkers of Alzheimer’s disease using network-guided sparse learning. ISBI’14:  IEEE Int. Sym. on Biomedical Imaging, pp 665-668, Beijing, China, 28 April - 2 May, 2014.

Wang H, Nie F, Huang H, Kim S, Nho K, Risacher SL, Saykin AJ, Shen L, for the ADNI (2012) Identifying quantitative trait loci via group-sparse multi-task regression and feature selection: An imaging genetics study of the ADNI cohort. Bioinformatics, 28(2):229-237. doi: 10.1093/bioinformatics/btr649

Yan J, Risacher SL, Kim S, Simon JC, Li T, Wan J, Wang H, Huang H, Saykin AJ, Shen L, for the ADNI (2012) Multimodal neuroimaging predictors for cognitive performance using structured sparse learning. MBIA’12: MICCAI Workshop on Multimodal Brain Image Analysis, Nice, France, October 1, 2012.