Won Chang (W Chang)

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Machine Learning

Cross Sectional

Top Venues

Nature communications

This page only lists publications with an associated author ORCID identifier.

Publications

Hyun Kim, Won Chang, Seok Joo Chae, Jong-Eun Park, Minseok Seo, Jae Kyoung Kim
scLENS: data-driven signal detection for unbiased scRNA-seq data analysis. Nature communications 15 (1) (2024)
Shixuan Wang, Seonjin Kim, Hyunkeun Ryan Cho, Won Chang
Nonparametric predictive model for sparse and irregular longitudinal data. Biometrics 80 (1) (2024)
Hyun Kim, Won Chang, Seok Joo Chae, Jong-Eun Park, Minseok Seo, Jae Kyoung Kim
scLENS: data-driven signal detection for unbiased scRNA-seq data analysis. Nature communications 15 (1) (2024)
Yeseul Jeon, Won Chang, Seonghyun Jeong, Sanghoon Han, Jaewoo Park
A Bayesian convolutional neural network-based generalized linear model. Biometrics 80 (2) (2024)
Hyeongseon Jeon, Juan Xie, Yeseul Jeon, Kyeong Joo Jung, Arkobrato Gupta, Won Chang, Dongjun Chung
Statistical Power Analysis for Designing Bulk, Single-Cell, and Spatial Transcriptomics Experiments: Review, Tutorial, and Perspectives. Biomolecules 13 (2) (2023)
Minki P Lee, Kien Hoang, Sungkyu Park, Yun Min Song, Eun Yeon Joo, Won Chang, Jee Hyun Kim, Jae Kyoung Kim
Imputing missing sleep data from wearables with neural networks in real-world settings. Sleep (2023)
Hyeongseon Jeon, Juan Xie, Yeseul Jeon, Kyeong Joo Jung, Arkobrato Gupta, Won Chang, Dongjun Chung
Statistical Power Analysis for Designing Bulk, Single-Cell, and Spatial Transcriptomics Experiments: Review, Tutorial, and Perspectives. Biomolecules 13 (2) (2023)
Hyeongseon Jeon, Juan Xie, Yeseul Jeon, Kyeong Joo Jung, Arkobrato Gupta, Won Chang, Dongjun Chung
Statistical Power Analysis for Designing Bulk, Single-Cell, and Spatial Transcriptomics Experiments: Review, Tutorial, and Perspectives. Biomolecules 13 (2) (2023)
Hyeongseon Jeon, Juan Xie, Yeseul Jeon, Kyeong Joo Jung, Arkobrato Gupta, Won Chang, Dongjun Chung
Statistical Power Analysis for Designing Bulk, Single-Cell, and Spatial Transcriptomics Experiments: Review, Tutorial, and Perspectives. Biomolecules 13 (2) (2023)
Christopher K Wikle, Abhirup Datta, Bhava Vyasa Hari, Edward L Boone, Indranil Sahoo, Indulekha Kavila, Stefano Castruccio, Susan J Simmons, Wesley S Burr, Won Chang
An illustration of model agnostic explainability methods applied to environmental data. Environmetrics 34 (1) (2022)
Carter Allen, Yuzhou Chang, Brian Neelon, Won Chang, Hang J Kim, Zihai Li, Qin Ma, Dongjun Chung
A Bayesian multivariate mixture model for high throughput spatial transcriptomics. Biometrics (2022)
Christopher K Wikle, Abhirup Datta, Bhava Vyasa Hari, Edward L Boone, Indranil Sahoo, Indulekha Kavila, Stefano Castruccio, Susan J Simmons, Wesley S Burr, Won Chang
An illustration of model agnostic explainability methods applied to environmental data. Environmetrics 34 (1) (2022)
Christopher K Wikle, Abhirup Datta, Bhava Vyasa Hari, Edward L Boone, Indranil Sahoo, Indulekha Kavila, Stefano Castruccio, Susan J Simmons, Wesley S Burr, Won Chang
An illustration of model agnostic explainability methods applied to environmental data. Environmetrics 34 (1) (2022)
Christopher K Wikle, Abhirup Datta, Bhava Vyasa Hari, Edward L Boone, Indranil Sahoo, Indulekha Kavila, Stefano Castruccio, Susan J Simmons, Wesley S Burr, Won Chang
An illustration of model agnostic explainability methods applied to environmental data. Environmetrics 34 (1) (2022)
R Olson, S-I An, Y Fan, Won Chang, Jason P Evans, June-Yi Lee
A novel method to test non-exclusive hypotheses applied to Arctic ice projections from dependent models. Nature communications 10 (1) (2019)