output
20062025
most citedEnhancing Clinical Concept Extraction with Contextual Embeddings

338 citations

Showing stat.APShow all

8 papers · 1 filter

stat.AP2024★ 2 cited

Are Made and Missed Different? An analysis of Field Goal Attempts of Professional Basketball Players via Depth Based Testing Procedure

Kai Qi, Guanyu Hu, Wei Wu

In this paper, we develop a novel depth-based testing procedure on spatial point processes to examine the difference in made and missed field goal attempts for NBA players. Specifi…

stat.AP2023★ 1 cited

Bayesian Nonparametric Clustering with Feature Selection for Spatially Resolved Transcriptomics Data

Bencong Zhu, Guanyu Hu, Yang Xie +3

The advent of next-generation sequencing-based spatially resolved transcriptomics (SRT) techniques has reshaped genomic studies by enabling high-throughput gene expression profilin…

stat.AP2020★ 10 cited

BVAR-Connect: A Variational Bayes Approach to Multi-Subject Vector Autoregressive Models for Inference on Brain Connectivity Networks

Jeong Hwan Kook, Kelly A. Vaughn, Dana M. DeMaster +2

In this paper we propose BVAR-connect, a variational inference approach to a Bayesian multi-subject vector autoregressive (VAR) model for inference on effective brain connectivity…

stat.AP2019★ 10 cited

Combining Representation Learning with Tensor Factorization for Risk Factor Analysis - an application to Epilepsy and Alzheimer's disease

Xiaoqian Jiang, Samden Lhatoo, Guo-Qiang Zhang +2

Existing studies consider Alzheimer's disease (AD) a comorbidity of epilepsy, but also recognize epilepsy to occur more frequently in patients with AD than those without. The goal…

stat.AP2018★ 1 cited

Bayesian Hierarchical Spatial Model for Small Area Estimation with Non-ignorable Nonresponses and Its Applications to the NHANES Dental Caries Assessments

Ick Hoon Jin, Fang Liu, Evercita C. Eugenio +2

The National Health and Nutrition Examination Survey (NHANES) is a major program of the National Center for Health Statistics, designed to assess the health and nutritional status…

stat.AP2016★ 1 cited

Dynamic Prediction for Multiple Repeated Measures and Event Time Data: An Application to Parkinson's Disease

Jue Wang, Sheng Luo, Liang Li

In many clinical trials studying neurodegenerative diseases such as Parkinson's disease (PD), multiple longitudinal outcomes are collected to fully explore the multidimensional imp…

stat.AP2012★ 17 cited

Bayesian joint modeling of multiple gene networks and diverse genomic data to identify target genes of a transcription factor

Peng Wei, Wei Pan

We consider integrative modeling of multiple gene networks and diverse genomic data, including protein-DNA binding, gene expression and DNA sequence data, to accurately identify th…

stat.AP2011

Latent rank change detection for analysis of splice-junction microarrays with nonlinear effects

Jonathan Gelfond, Lee Ann Zarzabal, Tarea Burton +3

Alternative splicing of gene transcripts greatly expands the functional capacity of the genome, and certain splice isoforms may indicate specific disease states such as cancer. Spl…