6 papers
A Consistent Feature Screening Approach for Tensor Responses with Applications to Genome-Wide Facial Shape Association
Shaofei Zhao, Zuofeng Shang, Seth M. Weinberg +3
As data collecting technologies advance, data structures are getting more and more complex, from single vectors to multi-dimensional tensors. This article is motivated by a variabl…
Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection
Yangsheng Wang, Samruddhi Thakar, Anton Schick +1
This work establishes a theoretical foundation for joint feature selection with multivariate outcomes, positioning the permutation-based variable importance measure (PVIM) of multi…
An Integrated Deep Learning and Statistical Framework for Whole-Network Gene--Environment Association with Leaf Vascular Architecture
Geran Zhao, Yangsheng Wang, Xiaotian Dai +1
Leaf veins exhibit remarkable diversity in architecture and patterning, yet existing gene--environment association studies have primarily quantified leaf venation using a small col…
Toward High-Fidelity 3D Point-Cloud Learning for Brain Folding Morphology Prediction Using Trans-Unet
Geran Zhao, Xiaotian Li, Poorya Chavoshnejad +4
Learning high-fidelity point-cloud features in the 3D space poses significant challenges, including permutation invariance, lack of local context, difficulty in fine-grained surfac…
Reconstruction of Enhanced Causal Omnidirectional Network (RECON)
Praveen Niranda, Peter T. McKenney, Guifang Fu
Learning a dynamical system and reconstructing the underlying regulatory network from discretely observed state trajectories remain challenging problems. Existing approaches of…
Longitudinal Random Forests for Sparse and Irregular Response Trajectories
Yangsheng Wang, Xiaotian Dai, Haoda Fu +1
Longitudinal studies often collect data at sparse, irregular, and unequally spaced time points. Such heterogeneity is often driven by subject-specific covariates, yet existing meth…