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Ruowang Li
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2020 – today
- 2024
- [j13]Jiayi Tong, Chongliang Luo, Yifei Sun, Rui Duan
, M. Elle Saine, Lifeng Lin, Yifan Peng
Confidence score: a data-driven measure for inclusive systematic reviews considering unpublished preprints. J. Am. Medical Informatics Assoc. 31(4): 809-819 (2024) - [j12]Jiayi Tong, Yishan Shen, Alice Xu, Xing He
Evaluating site-of-care-related racial disparities in kidney graft failure using a novel federated learning framework. J. Am. Medical Informatics Assoc. 31(6): 1303-1312 (2024) - [j11]Yuqing Lei, Adam Christian Naj, Hua Xu, Ruowang Li, Yong Chen:
Balancing the efforts of chart review and gains in PRS prediction accuracy: An empirical study. J. Biomed. Informatics 157: 104705 (2024) - 2023
- [j10]Philip J. Freda
Automated quantitative trait locus analysis (AutoQTL). BioData Min. 16(1) (2023) - [j9]Jesse G. Meyer, Ryan J. Urbanowicz
ChatGPT and large language models in academia: opportunities and challenges. BioData Min. 16(1) (2023) - 2020
- [c7]Xinyuan Zhang, Ruowang Li, Marylyn D. Ritchie:
Statistical Impact of Sample Size and Imbalance on Multivariate Analysis in silico and A Case Study in the UK Biobank. AMIA 2020 - [c6]Ruowang Li, Jiayi Tong, Rui Duan, Yong Chen, Jason H. Moore:
Evaluation of Phenotyping Errors on Polygenic Risk Score Predictions. BIOINFORMATICS 2020: 123-130 - [c5]Jiayi Tong, Rui Duan, Ruowang Li, Martijn J. Scheuemie, Jason H. Moore, Yong Chen:
Robust-ODAL: Learning from Heterogeneous Health Systems Without Sharing Patient-LevelData. PSB 2020: 695-706
2010 – 2019
- 2019
- [j8]Ruowang Li
Integration of genetic and clinical information to improve imputation of data missing from electronic health records. J. Am. Medical Informatics Assoc. 26(10): 1056-1063 (2019) - [j7]Ruowang Li
A regression framework to uncover pleiotropy in large-scale electronic health record data. J. Am. Medical Informatics Assoc. 26(10): 1083-1090 (2019) - 2018
- [j6]Shefali S. Verma, Anastasia Lucas, Xinyuan Zhang, Yogasudha Veturi, Scott M. Dudek, Binglan Li
Collective feature selection to identify crucial epistatic variants. BioData Min. 11(1): 5:1-5:22 (2018) - 2017
- [j5]Dokyoon Kim, Ruowang Li, Anastasia Lucas, Shefali S. Verma, Scott M. Dudek, Marylyn D. Ritchie:
Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma. J. Am. Medical Informatics Assoc. 24(3): 577-587 (2017) - 2016
- [j4]Ruowang Li, Scott M. Dudek, Dokyoon Kim, Molly A. Hall, Yukiko Bradford, Peggy L. Peissig, Murray H. Brilliant, James G. Linneman, Catherine A. McCarty
Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network. BioData Min. 9: 18 (2016) - [c4]Dokyoon Kim, Anastasia Lucas, Joseph Glessner, Shefali S. Verma, Yukiko Bradford, Ruowang Li, Alex T. Frase, Hakon Hakonarson, Peggy L. Peissig, Murray H. Brilliant, Marylyn D. Ritchie:
Biofilter as a Functional Annotation Pipeline for Common and Rare Copy Number Burden. PSB 2016: 357-368 - 2015
- [j3]Dokyoon Kim, Ruowang Li, Scott M. Dudek, Marylyn D. Ritchie:
Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer. J. Biomed. Informatics 56: 220-228 (2015) - [c3]Dokyoon Kim, Ruowang Li, Scott M. Dudek, John R. Wallace, Marylyn D. Ritchie:
Binning Somatic Mutations Based on Biological Knowledge for Predicting Survival: An Application in Renal Cell Carcinoma. Pacific Symposium on Biocomputing 2015: 96-107 - 2014
- [j2]Do Kyoon Kim, Ruowang Li, Scott M. Dudek, Alex T. Frase, Sarah A. Pendergrass
Knowledge-driven genomic interactions: an application in ovarian cancer. BioData Min. 7: 20 (2014) - [c2]Ruowang Li, Do Kyoon Kim, Scott M. Dudek, Marylyn D. Ritchie:
An integrated analysis of genome-wide DNA methylation and genetic variants underlying etoposide-induced cytotoxicity in European and African populations. EvoApplications 2014: 928-938 - 2013
- [j1]Dokyoon Kim, Ruowang Li, Scott M. Dudek, Marylyn D. Ritchie:
ATHENA: Identifying interactions between different levels of genomic data associated with cancer clinical outcomes using grammatical evolution neural network. BioData Min. 6: 23 (2013) - [c1]Ruowang Li, Emily Rose Holzinger, Scott M. Dudek, Marylyn D. Ritchie:
Evaluation of Parameter Contribution to Neural Network Size and Fitness in ATHENA for Genetic Analysis. GPTP 2013: 211-224
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last updated on 2024-10-07 21:20 CEST by the dblp team
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