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2020 – today
- 2024
[j15]Chao Yan
, Monika E. Grabowska, Alyson L. Dickson, Bingshan Li, Zhexing Wen, Dan M. Roden, C. Michael Stein, Peter J. Embí, Josh F. Peterson, QiPing Feng, Bradley A. Malin, Wei-Qi Wei:
Leveraging generative AI to prioritize drug repurposing candidates for Alzheimer's disease with real-world clinical validation. npj Digit. Medicine 7(1) (2024)- 2023
- [j14]Hufeng Zhou, Theodore Arapoglou, Xihao Li, Zilin Li, Xiuwen Zheng, Jill Moore, Abhijith Asok, Sushant Kumar, Elizabeth E. Blue, Steven Buyske, Nancy J. Cox, Adam Felsenfeld, Mark Gerstein, Eimear Kenny, Bingshan Li, Tara Cox Matise, Anthony Philippakis, Heidi L. Rehm, Heidi J. Sofia, Grace Snyder, Zhiping Weng, Benjamin M. Neale, Shamil R. Sunyaev, Xihong Lin:
FAVOR: functional annotation of variants online resource and annotator for variation across the human genome. Nucleic Acids Res. 51(D1): 1300-1311 (2023) - 2022
- [j13]Qiang Wei, Chao Jin, Yang Wang, Shanshan Guo, Xu Guo, Xiaonan Liu, Jiaze An, Jinliang Xing, Bingshan Li:
A computational framework to unify orthogonal information in DNA methylation and copy number aberrations in cell-free DNA for early cancer detection. Briefings Bioinform. 23(4) (2022) - [j12]Hai Yang, Rui Chen, Quan Wang, Qiang Wei, Ying Ji, Xue Zhong, Bingshan Li:
TVAR: assessing tissue-specific functional effects of non-coding variants with deep learning. Bioinform. 38(20): 4697-4704 (2022) - [j11]Ying Ji, Rui Chen, Quan Wang, Qiang Wei, Ran Tao, Bingshan Li:
A Bayesian framework to integrate multi-level genome-scale data for Autism risk gene prioritization. BMC Bioinform. 23(1): 146 (2022) - 2021
- [j10]Patrick Wu, Scott D. Nelson, Juan Zhao, Cosby A. Stone Jr., QiPing Feng, Qingxia Chen, Eric A. Larson, Bingshan Li, Nancy J. Cox, C. Michael Stein, Elizabeth Phillips, Dan M. Roden, Joshua C. Denny, Wei-Qi Wei:
DDIWAS: High-throughput electronic health record-based screening of drug-drug interactions. J. Am. Medical Informatics Assoc. 28(7): 1421-1430 (2021) - 2020
- [j9]Yi Jiang, Gina Giase, Kay Grennan, Annie W. Shieh, Yan Xia, Lide Han, Quan Wang, Qiang Wei, Rui Chen, Sihan Liu, Kevin P. White, Chao Chen, Bingshan Li, Chunyu Liu:
DRAMS: A tool to detect and re-align mixed-up samples for integrative studies of multi-omics data. PLoS Comput. Biol. 16(4) (2020) - [c1]Hai Yang, Xiaohui Sun, Yang Sun, Ligang Cui, Bingshan Li:
Ultrasound Image-Based Diagnosis of Cirrhosis with an End-to-End Deep Learning model. BIBM 2020: 1193-1196
2010 – 2019
- 2019
- [j8]Hai Yang, Rui Chen, Quan Wang, Qiang Wei, Ying Ji, Guangze Zheng, Xue Zhong, Nancy J. Cox, Bingshan Li:
De novo pattern discovery enables robust assessment of functional consequences of non-coding variants. Bioinform. 35(9): 1453-1460 (2019) - 2017
- [j7]Hai Yang, Qiang Wei, Xue Zhong, Hushan Yang, Bingshan Li:
Cancer driver gene discovery through an integrative genomics approach in a non-parametric Bayesian framework. Bioinform. 33(4): 483-490 (2017) - 2016
- [j6]Yongzhuang Liu, Jian Liu, Jianguo Lu, Jiajie Peng, Liran Juan, Xiaolin Zhu, Bingshan Li, Yadong Wang:
Joint detection of copy number variations in parent-offspring trios. Bioinform. 32(8): 1130-1137 (2016) - [j5]Xiaowei Zhan, Youna Hu, Bingshan Li, Gonçalo R. Abecasis, Dajiang J. Liu:
RVTESTS: an efficient and comprehensive tool for rare variant association analysis using sequence data. Bioinform. 32(9): 1423-1426 (2016) - [j4]Lun-Ching Chang, Bingshan Li, Zhou Fang, Scott Vrieze, Matthew McGue, William G. Iacono, George C. Tseng, Wei Chen:
A computational method for genotype calling in family-based sequencing data. BMC Bioinform. 17: 37 (2016) - 2015
- [j3]Qiang Wei, Xiaowei Zhan, Xue Zhong, Yongzhuang Liu, Yujun Han, Wei Chen, Bingshan Li:
A Bayesian framework for de novo mutation calling in parents-offspring trios. Bioinform. 31(9): 1375-1381 (2015) - [j2]Rui Chen, Qiang Wei, Xiaowei Zhan, Xue Zhong, James S. Sutcliffe, Nancy J. Cox, Edwin H. Cook Jr., Chun Li, Wei Chen, Bingshan Li:
A haplotype-based framework for group-wise transmission/disequilibrium tests for rare variant association analysis. Bioinform. 31(9): 1452-1459 (2015) - 2014
- [j1]Yongzhuang Liu, Bingshan Li, Renjie Tan, Xiaolin Zhu, Yadong Wang:
A gradient-boosting approach for filtering de novo mutations in parent-offspring trios. Bioinform. 30(13): 1830-1836 (2014)
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