1. Estimation of joint directed acyclic graphs with lasso family for gene networks.
- Author
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Han, Sung Won, Park, Sunghoon, Zhong, Hua, Ryu, Eun-Seok, Wang, Pei, Jung, Sehee, Lim, Jayeon, Yoon, Jeewhan, and Kim, SungHwan
- Subjects
GENE regulatory networks ,GENE families ,BREAST cancer ,CANCER genes ,GENE therapy - Abstract
Biological regulatory pathways provide important information for target gene cancer therapy. Frequently, estimating the gene networks of two distinct patient groups is a worthwhile investigation. This paper proposes an approach, called jDAG, to the estimation of directed joint networks. It can identify common directed edges with joint data sets and distinct edges. In a simulation study, we show that the proposed jDAG outperforms existing methods although it does require longer computational times. We also present and discuss the example study of a breast cancer data set with ER + and ER-. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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