1 citations · 1 across the 4 of their papers we have counts for
6 papers
Network-based Topic Structure Visualization
Yeseul Jeon, Jina Park, Ick Hoon Jin +1
In the real world, many topics are inter-correlated, making it challenging to investigate their structure and relationships. Understanding the interplay between topics and their re…
Statistical Power Analysis for Designing Bulk, Single-Cell, and Spatial Transcriptomics Experiments: Review, Tutorial, and Perspectives
Hyeongseon Jeon, Juan Xie, Yeseul Jeon +4
Gene expression profiling technologies have been used in various applications such as cancer biology. The development of gene expression profiling has expanded the scope of target…
A Bayesian Convolutional Neural Network-based Generalized Linear Model
Yeseul Jeon, Won Chang, Seonghyun Jeong +2
Convolutional neural networks (CNNs) provide flexible function approximations for a wide variety of applications when the input variables are in the form of images or spatial data.…
Interpretable Fusion Analytics Framework for fMRI Connectivity: Self-Attention Mechanism and Latent Space Item-Response Model
Jeong-Jae Kim, Yeseul Jeon, SuMin Yu +2
There have been several attempts to use deep learning based on brain fMRI signals to classify cognitive impairment diseases. However, deep learning is a hidden black box model that…
Network-based Topic Interaction Map for Big Data Mining of COVID-19 Biomedical Literature
Yeseul Jeon, Dongjun Chung, Jina Park +1
Since the emergence of the worldwide pandemic of COVID-19, relevant research has been published at a dazzling pace, which yields an abundant amount of big data in biomedical litera…
Bayesian Shrinkage for Functional Network Models, with Applications to Longitudinal Item Response Data
Jaewoo Park, Yeseul Jeon, Minsuk Shin +2
Longitudinal item response data are common in social science, educational science, and psychology, among other disciplines. Studying the time-varying relationships between items is…