Bingshan Li

According to our database, Bingshan Li authored at least 16 papers between 2014 and 2024.

Collaborative distances:

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

2024

Leveraging generative AI to prioritize drug repurposing candidates for Alzheimer's disease with real-world clinical validation.

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

npj Digit. Medicine, 2024

2023

FAVOR: functional annotation of variants online resource and annotator for variation across the human genome.

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

Nucleic Acids Res., January, 2023

2022

TVAR: assessing tissue-specific functional effects of non-coding variants with deep learning.

Hai Yang, Rui Chen, Quan Wang, Qiang Wei, Ying Ji, Xue Zhong, Bingshan Li

Bioinform., October, 2022

A Bayesian framework to integrate multi-level genome-scale data for Autism risk gene prioritization.

Ying Ji, Rui Chen, Quan Wang, Qiang Wei, Ran Tao, Bingshan Li

BMC Bioinform., 2022

A computational framework to unify orthogonal information in DNA methylation and copy number aberrations in cell-free DNA for early cancer detection.

Qiang Wei, Chao Jin, Yang Wang, Shanshan Guo, Xu Guo, Xiaonan Liu, Jiaze An, Jinliang Xing, Bingshan Li

Briefings Bioinform., 2022

2021

DDIWAS: High-throughput electronic health record-based screening of drug-drug interactions.

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

J. Am. Medical Informatics Assoc., 2021

2020

DRAMS: A tool to detect and re-align mixed-up samples for integrative studies of multi-omics data.

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

PLoS Comput. Biol., 2020

Ultrasound Image-Based Diagnosis of Cirrhosis with an End-to-End Deep Learning model.

Hai Yang, Xiaohui Sun, Yang Sun, Ligang Cui, Bingshan Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

De novo pattern discovery enables robust assessment of functional consequences of non-coding variants.

Hai Yang, Rui Chen, Quan Wang, Qiang Wei, Ying Ji, Guangze Zheng, Xue Zhong, Nancy J. Cox, Bingshan Li

Bioinform., 2019

2017

Cancer driver gene discovery through an integrative genomics approach in a non-parametric Bayesian framework.

Hai Yang, Qiang Wei, Xue Zhong, Hushan Yang, Bingshan Li

Bioinform., 2017

2016

A computational method for genotype calling in family-based sequencing data.

Lun-Ching Chang, Bingshan Li, Zhou Fang, Scott Vrieze, Matthew McGue, William G. Iacono, George C. Tseng, Wei Chen

BMC Bioinform., 2016

RVTESTS: an efficient and comprehensive tool for rare variant association analysis using sequence data.

Xiaowei Zhan, Youna Hu, Bingshan Li, Gonçalo R. Abecasis, Dajiang J. Liu

Bioinform., 2016

Joint detection of copy number variations in parent-offspring trios.

Yongzhuang Liu, Jian Liu, Jianguo Lu, Jiajie Peng, Liran Juan, Xiaolin Zhu, Bingshan Li, Yadong Wang

Bioinform., 2016

2015

A Bayesian framework for <i>de novo</i> mutation calling in parents-offspring trios.

Qiang Wei, Xiaowei Zhan, Xue Zhong, Yongzhuang Liu, Yujun Han, Wei Chen, Bingshan Li

Bioinform., 2015

A haplotype-based framework for group-wise transmission/disequilibrium tests for rare variant association analysis.

Rui Chen, Qiang Wei, Xiaowei Zhan, Xue Zhong, James S. Sutcliffe, Nancy J. Cox, Edwin H. Cook Jr., Chun Li, Wei Chen, Bingshan Li

Bioinform., 2015

2014

A gradient-boosting approach for filtering <i>de novo</i> mutations in parent-offspring trios.

Yongzhuang Liu, Bingshan Li, Renjie Tan, Xiaolin Zhu, Yadong Wang

Bioinform., 2014