Group spike-and-slab lasso generalized linear models for disease prediction and associated genes detection by incorporating pathway information

• DOI: 10.1093/bioinformatics/btx684
• Publication Date: 2017-10-24T19:28:27Z
• Authors: Zaixiang Tang; Yueping Shen; Yan Li; Xinyan Zhang; Jia Wen; Chen’ao Qian; Wenzhuo Zhuang; Xinghua Shi; Nengjun Yi
• Keywords: Lasso; Bayesian information criterion

Large-scale molecular data have been increasingly used as an important resource for prognostic prediction of diseases and detection associated genes. However, standard approaches omics analysis ignore the group structure among genes encoded in functional relationships or pathway information.