Wendy K. Chung

According to our database, Wendy K. Chung authored at least 12 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Participant-guided development of bilingual genomic educational infographics for Electronic Medical Records and Genomics Phase IV study.

Aimiel Casillan, Michelle E. Florido, Jamie Galarza-Cornejo, Suzanne Bakken, John A Lynch, Wendy K. Chung, Kathleen F. Mittendorf, Eta S. Berner, John J. Connolly, Chunhua Weng, Ingrid A. Holm, Atlas Khan, Krzysztof Kiryluk, Nita A Limdi, Lynn Petukhova, Maya Sabatello, Julia Wynn

J. Am. Medical Informatics Assoc., January, 2024

Identifying novel data-driven subgroups in congenital heart disease using multi-modal measures of brain structure.

Marlee M. Vandewouw, Ami Norris-Brilliant, Anum Rahman, Stephania Assimopoulos, Sarah U. Morton, Azadeh Kushki, Sean Cunningham, Eileen King, Elizabeth Goldmuntz, Thomas A. Miller, Nina H. Thomas, Heather R. Adams, John Cleveland, James F. Cnota, Patricia Ellen Grant, Caren S. Goldberg, Hao Huang, Jennifer S. Li, Patrick S. McQuillen, George A. Porter, Amy E. Roberts, Mark W. Russell, Christine E. Seidman, Madalina E. Tivarus, Wendy K. Chung, Donald J. Hagler, Jane W. Newburger, Ashok Panigrahy, Jason P. Lerch, Bruce D. Gelb, Evdokia Anagnostou

NeuroImage, 2024

Rare disease diagnosis using knowledge guided retrieval augmentation for ChatGPT.

Charlotte Zelin, Wendy K. Chung, Mederic Jeanne, Gongbo Zhang, Chunhua Weng

J. Biomed. Informatics, 2024

Promoting equity in clinical research: The role of social determinants of health.

Betina Idnay, Yilu Fang, Edward Stanley, Brenda Ruotolo, Wendy K. Chung, Karen Marder, Chunhua Weng

J. Biomed. Informatics, 2024

2023

SHINE: protein language model-based pathogenicity prediction for short inframe insertion and deletion variants.

Xiao Fan, Hongbing Pan, Alan Tian, Wendy K. Chung, Yufeng Shen

Briefings Bioinform., January, 2023

2022

Predicting functional effect of missense variants using graph attention neural networks.

Haicang Zhang, Michelle S. Xu, Xiao Fan, Wendy K. Chung, Yufeng Shen

Nat. Mac. Intell., November, 2022

Deep learning for rare disease: A scoping review.

Junghwan Lee, Cong Liu, Junyoung Kim, Zhehuan Chen, Yingcheng Sun, James R. Rogers, Wendy K. Chung, Chunhua Weng

J. Biomed. Informatics, 2022

2019

ORE identifies extreme expression effects enriched for rare variants.

Felix Richter, Gabriel E. Hoffman, K. B. Manheimer, Nihir Patel, A J. Sharp, D. McKean, Sarah U. Morton, S. DePalma, J. Gorham, A Kitaygorodksy, George A. Porter, A Giardini, Y. Shen, Wendy K. Chung, J. G. Seidman, Christine E. Seidman, Eric E. Schadt, Bruce D. Gelb

Bioinform., 2019

Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network.

Xinyuan Zhang, Yogasudha Veturi, Shefali Setia Verma, William Bone, Anurag Verma, Anastasia Lucas, Scott J. Hebbring, Joshua C. Denny, Ian B. Stanaway, Gail P. Jarvik, David R. Crosslin, Eric B. Larson, Laura Rasmussen-Torvik, Sarah A. Pendergrass, Jordan W. Smoller, Hakon Hakonarson, Patrick Sleiman, Chunhua Weng, David Fasel, Wei-Qi Wei, Iftikhar J. Kullo, Daniel J. Schaid, Wendy K. Chung, Marylyn D. Ritchie

Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

User engagement with web-based genomics education videos and implications for designing scalable patient education materials.

Julia Wynn, Wei Wei, Xinhang Li, Yat So, Suzanne R. Bakken, Chunhua Weng, Wendy K. Chung

Proceedings of the AMIA 2019, 2019

Development of a Genomic Data Flow Framework: Results of a Survey Administered to NIH-NHGRI IGNITE and eMERGE Consortia Participants.

Paul R. Dexter, Henry H. Ong, Amanda Elsey, Gillian Bell, Nephi Walton, Wendy K. Chung, Luke V. Rasmussen, J. Kevin Hicks, Aniwaa Owusu-obeng, Stuart A. Scott, Stephen B. Ellis, Josh F. Peterson

Proceedings of the AMIA 2019, 2019

2015

CSER and eMERGE: current and potential state of the display of genetic information in the electronic health record.

Brian H. Shirts, Joseph S. Salama, Samuel J. Aronson, Wendy K. Chung, Stacy W. Gray, Lucia A. Hindorff, Gail P. Jarvik, Sharon E. Plon, Elena M. Stoffel, Peter Tarczy-Hornoch, Eliezer M. Van Allen, Karen E. Weck, Christopher G. Chute, Robert R. Freimuth, Robert Grundmeier, Andrea L. Hartzler, Rongling Li, Peggy L. Peissig, Josh F. Peterson, Luke V. Rasmussen, Justin B. Starren, Marc S. Williams, Casey Lynnette Overby

J. Am. Medical Informatics Assoc., 2015