3 papers
stat.ME2025
Modeling and prediction of mutation fitness on protein functionality with structural information using high-dimensional Potts model
Bingying Dai, Yinan Lin, Kejue Jia +2
Quantifying the effects of amino acid mutations in proteins presents a significant challenge due to the vast combinations of residue sites and amino acid types, making experimental…
stat.ME2023
Binary Regression and Classification with Covariates in Metric Spaces
Yinan Lin, Zhenhua Lin
Inspired by logistic regression, we introduce a regression model for data tuples consisting of a binary response and a set of covariates residing in a metric space without vector s…
stat.ME2022
Modeling High-Dimensional Data with Unknown Cut Points: A Fusion Penalized Logistic Threshold Regression
Yinan Lin, Wen Zhou, Zhi Geng +2
In traditional logistic regression models, the link function is often assumed to be linear and continuous in predictors. Here, we consider a threshold model that all continuous fea…