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Journal Articles
- 2023
[j14]Chang Li, Ian Hou, Mingjia Ma, Grace Wang, Yongsheng Bai, Xiaoming Liu
:
Orthogonal analysis of variants in APOE gene using in-silico approaches reveals novel disrupting variants. Frontiers Bioinform. 3 (2023)- 2022
- [j13]Chang Li, Kevin Ma, Nicole Xu, Chenjian Fu, Andrew He, Xiaoming Liu, Yongsheng Bai:
SNPAAMapper-Python: A highly efficient genome-wide SNP variant analysis pipeline for Next-Generation Sequencing data. Frontiers Artif. Intell. 5 (2022) - [j12]Ruoxian Huang, Ruoya Huang, Yongsheng Bai:
Computational identification of personal genetic variants in an identical twin sisters' family. Int. J. Comput. Biol. Drug Des. 15(2): 123-138 (2022) - [j11]Enzhi Dong, Tielu Gao, Zhonghua Cheng, Rongcai Wang, Yongsheng Bai:
Opportunistic Maintenance Strategy for Complex Equipment with a Genetic Algorithm Considering Failure Dependence: A Two-Dimensional Warranty Perspective. Sensors 22(18): 6801 (2022) - 2021
- [j10]Rongcai Wang, Zhonghua Cheng, Liqing Rong, Yongsheng Bai, Qian Wang:
Availability Optimization of Two-dimensional Warranty Products Under Imperfect Preventive Maintenance. IEEE Access 9: 8099-8109 (2021) - [j9]Boqi Wang, James Yang, Steven Qiu, Yongsheng Bai, Zhaohui S. Qin:
Systematic Exploration in Tissue-Pathway Associations of Complex Traits Using Comprehensive eQTLs Catalog. Frontiers Big Data 4: 719737 (2021) - 2020
- [j8]Yongsheng Bai, Steve Baker, Kevin Exoo, Xingqin Dai, Lizhong Ding, Naureen Aslam Khattak, Hongtao Li, Hannah Liu, Xiaoming Liu:
MMiRNA-Viewer2, a bioinformatics tool for visualizing functional annotation for MiRNA and MRNA pairs in a network. BMC Bioinform. 21-S(4): 247 (2020) - [j7]Jonathan D. Wren, Yongsheng Bai, Zhaohui S. Qin, Da Yan, Ramin Homayouni:
Proceedings of the 2019 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. BMC Bioinform. 21-S(4): 254 (2020) - 2018
- [j6]Yutao Wu, Wenyuan Song, Yongsheng Bai, Yucheng Han, Wenbin Cao:
An optimisation research on two-dimensional age-replacement interval of two-dimensional products. Int. J. High Perform. Comput. Netw. 12(2): 137-147 (2018) - 2017
- [j5]Ethan Rath, Stephanie Pitman, Kyu Hong Cho, Yongsheng Bai:
Identification of streptococcal small RNAs that are putative targets of RNase III through bioinformatics analysis of RNA sequencing data. BMC Bioinform. 18(14): 111-120 (2017) - [j4]Yongsheng Bai, Jeff Kinne, Lizhong Ding, Ethan Rath, Aaron Cox, Siva Dharman Naidu:
Identification of genome-wide non-canonical spliced regions and analysis of biological functions for spliced sequences using Read-Split-Fly. BMC Bioinform. 18(S-11): 37-48 (2017) - 2016
- [j3]Yongsheng Bai, Lizhong Ding, Steve Baker, Jenny M. Bai, Ethan Rath, Feng Jiang, Jianghong Wu, Hui Jiang, Gary W. Stuart:
Dissecting the biological relationship between TCGA miRNA and mRNA sequencing data using MMiRNA-Viewer. BMC Bioinform. 17(S-13): 336 (2016) - 2015
- [j2]Yang Liu, Steve Baker, Hui Jiang, Gary W. Stuart, Yongsheng Bai:
Correlating Bladder Cancer Risk Genes with Their Targeting MicroRNAs Using MMiRNA-Tar. Genom. Proteom. Bioinform. 13(3): 177-182 (2015) - [j1]Yongsheng Bai, Joshua Stolz, Cameron Meyer:
Cross analysis of whole genome deep sequencing data reveals over-presence of nonintronic insertions and deletions (INDELs). Int. J. Comput. Biol. Drug Des. 8(4): 348-358 (2015)
Conference and Workshop Papers
- 2023
- [c19]Claire Shen, Yongsheng Bai:
Characterization of oncogenes and tumor suppressor genes targeted by onco-microRNAs and tumor suppressor microRNAs in kidney cancer. BIBM 2023: 3819-3823 - [c18]Ellie Xi, Lulu Shang, Tutu Hu, Xiang Zhou, Chloe Yu, Yongsheng Bai:
Identification of Key Biomarkers Associated with Ductal Breast Cancer in Spatial Transcriptomics Data. BIBM 2023: 3840-3847 - 2022
- [c17]Boqi Wang, Daniel Lu, Catherine Zhang, Nicole Xu, Steven Qiu, Yongsheng Bai, Brian Hu, Zhaohui Qin:
Loci2Tissue: Ranking tissues by the e3xpression of disease-associated genes reveals insights of the underlying mechanisms of complex diseases and traits. BIBM 2022: 2879-2885 - [c16]James Yang, Yongsheng Bai:
Prioritizing Intellectual Disability Candidate Genes and Understanding Family Diseases Using Machine Learning. BIBM 2022: 2886-2892 - [c15]Mingjia Ma, Ian Hou, Jeslyn Gao, Chang Li, Yongsheng Bai, Xiaoming Liu:
A Bioinformatics Pipeline for the identification of disease-causing variants in humans that can change protein structure. BIBM 2022: 3849-3851 - 2021
- [c14]Shurui Cai, Renata Fu, Kevin Wang, Na Li, Haowen Chen, Ellie Xi, Daniel Lin, Yongsheng Bai, Qi-En Wang:
Bioinformatics analysis of miRNAs identifies enrichment of axon guidance pathway genes in ovarian cancer stem cells. BIBM 2021: 2415-2422 - [c13]Daniel Lin, Renata Fu, Ellie Xi, Yongsheng Bai:
Computational Prediction of Biological Signatures for Candidate Driver Genes Associated with Ovarian Cancer. BIBM 2021: 2437-2442 - [c12]Yibo Dong, Andrew Gao, Ian Hou, Kevin Ma, Ruoxian Huang, Yongsheng Bai, Xiaoming Liu:
A Deep Learning Model for Ancestry Estimation with Craniometric Measurements. BIBM 2021: 3350-3357 - [c11]Yongsheng Bai, Ramzi M. Abduallah, Halil Sezen, Alper Yilmaz:
Automatic Displacement and Vibration Measurement in Laboratory Experiments with A Deep Learning Method. IEEE SENSORS 2021: 1-4 - 2020
- [c10]Junmeng Yang, Susan Huang, Eric Li, Yongsheng Bai:
Investigating Genetic Signatures for Sex-Biased miRNA targeted Genes related to Intellectual Disability. BIBM 2020: 1395-1402 - [c9]Isabella He, Tianli Jiang, Aryan Thakur, Yongsheng Bai, Zhaohui Qin:
Systematic and Comprehensive Survey of Genomic Loci Associated with Complex Diseases and Traits. BIBM 2020: 1447-1452 - [c8]Renata Fu, Yongsheng Bai, Qi-En Wang:
Computational identification of key pathways and differentially-expressed gene signatures in ovarian cancer stem cells. BIBM 2020: 1843-1848 - [c7]Yining Zhu, Ethan Sun, Yongsheng Bai:
Dissecting Biological Functions for BRCA Genes and Their Targeting MicroRNAs Within Eight Clusters. BigData 2020: 247-251 - [c6]Michael Zhou, Yongsheng Bai:
Bioinf-PHP: Bioinformatics Pipeline for Protein Homology and Phylogeny. CLOUD 2020: 261-269 - [c5]Yongsheng Bai, Halil Sezen, Alper Yilmaz:
End-to-end Deep Learning Methods for Automated Damage Detection in Extreme Events at Various Scales. ICPR 2020: 6640-6647 - 2017
- [c4]Naureen Aslam Khattak, Sheikh Arslan Sehgal, Yongsheng Bai, Youping Deng:
Structure Modeling and Molecular Docking Studies of Schizophrenia Candidate Genes, Synapsins 2 (SYN2) and Trace Amino Acid Receptor (TAAR6). ISBRA 2017: 291-301 - 2013
- [c3]Qiwei Hu, Guangyan Wang, Yongsheng Bai:
Equipment supportability assessment using matter-element and cloud model integrated method. GrC 2013: 242-246 - 2006
- [c2]Yongsheng Bai, Bob P. Weems:
Another Algorithm for Computing Longest Common Increasing Subsequence for Two Random Input Sequences. FCS 2006: 81-87 - 2005
- [c1]Bob P. Weems, Yongsheng Bai:
Finding Longest Common Increasing Subsequence for Two Different Scenarios of Non-random Input Sequences. FCS 2005: 64-72
Editorship
- 2020
- [e1]Ruifeng Xu, Wang De, Wei Zhong, Ling Tian, Yongsheng Bai, Liang-Jie Zhang:
Artificial Intelligence and Mobile Services - AIMS 2020 - 9th International Conference, Held as Part of the Services Conference Federation, SCF 2020, Honolulu, HI, USA, September 18-20, 2020, Proceedings. Lecture Notes in Computer Science 12401, Springer 2020, ISBN 978-3-030-59604-0 [contents]
Informal and Other Publications
- 2022
- [i3]Yongsheng Bai, Bing Zha, Halil Sezen, Alper Yilmaz:
Engineering deep learning methods on automatic detection of damage in infrastructure due to extreme events. CoRR abs/2205.02125 (2022) - 2021
- [i2]Yongsheng Bai, Ramzi M. Abduallah, Halil Sezen, Alper Yilmaz:
Automatic Displacement and Vibration Measurement in Laboratory Experiments with A Deep Learning Method. CoRR abs/2109.04960 (2021) - 2020
- [i1]Yongsheng Bai, Halil Sezen, Alper Yilmaz:
End-to-end Deep Learning Methods for Automated Damage Detection in Extreme Events at Various Scales. CoRR abs/2011.03098 (2020)
Coauthor Index
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