Li, Changcheng, Wang, Xue, Du, Guangwei, Chen, Hairong, Brown, Gregory, Lewis, Mechelle M., Yao, Tao, Li, Runze, and Huang, Xuemei. Folded concave penalized learning of high-dimensional MRI data in Parkinson’s disease. Retrieved from https://par.nsf.gov/biblio/10223594. Journal of Neuroscience Methods 357.C Web. doi:10.1016/j.jneumeth.2021.109157.

Li, Changcheng, Wang, Xue, Du, Guangwei, Chen, Hairong, Brown, Gregory, Lewis, Mechelle M., Yao, Tao, Li, Runze, & Huang, Xuemei. Folded concave penalized learning of high-dimensional MRI data in Parkinson’s disease. Journal of Neuroscience Methods, 357 (C). Retrieved from https://par.nsf.gov/biblio/10223594. https://doi.org/10.1016/j.jneumeth.2021.109157

Li, Changcheng, Wang, Xue, Du, Guangwei, Chen, Hairong, Brown, Gregory, Lewis, Mechelle M., Yao, Tao, Li, Runze, and Huang, Xuemei. "Folded concave penalized learning of high-dimensional MRI data in Parkinson’s disease". Journal of Neuroscience Methods 357 (C). Country unknown/Code not available. https://doi.org/10.1016/j.jneumeth.2021.109157. https://par.nsf.gov/biblio/10223594.

@article{osti_10223594,
place = {Country unknown/Code not available}, title = {Folded concave penalized learning of high-dimensional MRI data in Parkinson’s disease}, url = {https://par.nsf.gov/biblio/10223594}, DOI = {10.1016/j.jneumeth.2021.109157}, abstractNote = {}, journal = {Journal of Neuroscience Methods}, volume = {357}, number = {C}, author = {Li, Changcheng and Wang, Xue and Du, Guangwei and Chen, Hairong and Brown, Gregory and Lewis, Mechelle M. and Yao, Tao and Li, Runze and Huang, Xuemei}, editor = {null} }