10 citations · 30 across the 25 of their papers we have counts for
5 papers · 1 filter
Binned multinomial logistic regression for integrative cell type annotation
Keshav Motwani, Rhonda Bacher, Aaron J. Molstad
Categorizing individual cells into one of many known cell type categories, also known as cell type annotation, is a critical step in the analysis of single-cell genomics data. The…
A Convex-Nonconvex Strategy for Grouped Variable Selection
Xiaoqian Liu, Aaron J. Molstad, Eric C. Chi
This paper deals with the grouped variable selection problem. A widely used strategy is to augment the negative log-likelihood function with a sparsity-promoting penalty. Existing…
Dimension reduction for integrative survival analysis
Aaron J. Molstad, Rohit K. Patra
We propose a constrained maximum partial likelihood estimator for dimension reduction in integrative (e.g., pan-cancer) survival analysis with high-dimensional covariates. We assum…
Scalable algorithms for semiparametric accelerated failure time models in high dimensions
Piotr M. Suder, Aaron J. Molstad
Semiparametric accelerated failure time (AFT) models are a useful alternative to Cox proportional hazards models, especially when the assumption of constant hazard ratios is untena…
Mixed-type multivariate response regression with covariance estimation
Karl Oskar Ekvall, Aaron J. Molstad
We propose a new method for multivariate response regression and covariance estimation when elements of the response vector are of mixed types, for example some continuous and some…