26 citations · 30 across the 4 of their papers we have counts for
4 papers
Bayesian Edge Regression in Undirected Graphical Models to Characterize Interpatient Heterogeneity in Cancer
Zeya Wang, Veera Baladandayuthapan, Ahmed O. Kaseb +4
Graphical models are commonly used to discover associations within gene or protein networks for complex diseases such as cancer. Most existing methods estimate a single graph for a…
Bayesian estimation of a semiparametric recurrent event model with applications to the penetrance estimation of multiple primary cancers in Li-Fraumeni Syndrome
Seung Jun Shin, Jialu Li, Jing Ning +3
A common phenomenon in cancer syndromes is for an individual to have multiple primary cancers at different sites during his/her lifetime. Patients with Li-Fraumeni syndrome (LFS),…
Bayesian Variable Selection For Survival Data Using Inverse Moment Priors
Amir Nikooienejad, Wenyi Wang, Valen E. Johnson
Efficient variable selection in high-dimensional cancer genomic studies is critical for discovering genes associated with specific cancer types and for predicting response to treat…
Bayesian Semiparametric Estimation of Cancer-specific Age-at-onset Penetrance with Application to Li-Fraumeni Syndrome
Seung Jun Shin, Ying Yuan, Louise C. Strong +2
Penetrance, which plays a key role in genetic research, is defined as the proportion of individuals with the genetic variants (i.e., {genotype}) that cause a particular trait and w…