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2020 – today
- 2024
[j17]Haipeng Yang
, Bin Li, Fan Cheng, Peng Zhou, Renzhi Cao, Lei Zhang:
A Node Classification-Based Multiobjective Evolutionary Algorithm for Community Detection in Complex Networks. IEEE Trans. Comput. Soc. Syst. 11(1): 292-306 (2024)- [j16]Lei Zhang, Bin Li, Li Ni, Haipeng Yang, Renzhi Cao:
Evolutionary Multitasking Local Community Detection on Attributed Networks. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1624-1639 (2024) - 2023
- [j15]Andrew Nakamura, Hanze Meng, Minglei Zhao, Fengbin Wang, Jie Hou, Renzhi Cao, Dong Si:
Fast and automated protein-DNA/RNA macromolecular complex modeling from cryo-EM maps. Briefings Bioinform. 24(2) (2023) - [j14]Lei Zhang, Sheng Wang, Jie Hou, Dong Si, Junyong Zhu, Renzhi Cao:
ComplexQA: a deep graph learning approach for protein complex structure assessment. Briefings Bioinform. 24(6) (2023) - [j13]Lei Zhang, Bin Li, Haipeng Yang, Fan Cheng, Cheng Zhang, Renzhi Cao:
Multi-Objective Optimization of Local Overlapping Community Detection: A Formal Model and Novel Evolutionary Algorithm. IEEE Trans. Netw. Sci. Eng. 10(4): 2124-2140 (2023) - [i6]Kaicong Ma, Xinxiang Xu, Haipeng Yang, Renzhi Cao, Lei Zhang:
Fair Influence Maximization in Social Networks: A Community-Based Evolutionary Algorithm. CoRR abs/2311.14288 (2023) - 2022
- [j12]Kyle Hippe, Cade Lilley, Joshua William Berkenpas, Ciri Chandana Pocha, Kiyomi Kishaba, Hui Ding, Jie Hou, Dong Si, Renzhi Cao:
ZoomQA: residue-level protein model accuracy estimation with machine learning on sequential and 3D structural features. Briefings Bioinform. 23(1) (2022) - [c5]Mahdi Rahbar, Rahul Kumar Chauhan, Pankil Nimeshbhai Shah, Renzhi Cao, Dong Si, Jie Hou:
Deep graph learning to estimate protein model quality using structural constraints from multiple sequence alignments. BCB 2022: 21:1-21:10 - 2021
- [j11]Hao Lv, Lei Shi, Joshua William Berkenpas, Fu-Ying Dao, Hasan Zulfiqar, Hui Ding, Yang Zhang, Liming Yang, Renzhi Cao:
Application of artificial intelligence and machine learning for COVID-19 drug discovery and vaccine design. Briefings Bioinform. 22(6) (2021) - [i5]Dong Si, Andrew Nakamura, Runbang Tang, Haowen Guan, Jie Hou, Ammaar Firozi, Renzhi Cao, Kyle Hippe, Minglei Zhao:
Artificial Intelligence Advances for De Novo Molecular Structure Modeling in Cryo-EM. CoRR abs/2102.06125 (2021) - 2020
- [j10]John Smith, Matthew Conover, Natalie Stephenson, Jesse Eickholt, Dong Si, Miao Sun, Renzhi Cao:
TopQA: a topological representation for single-model protein quality assessment with machine learning. Int. J. Comput. Biol. Drug Des. 13(1): 144-153 (2020) - [c4]Benjamin Warner, Aaron Crook, Renzhi Cao:
Predicting the DJIA with News Headlines and Historic Data Using Hybrid Genetic Algorithm/Support Vector Regression and BERT. BigData 2020: 23-37 - [c3]Ting Zhang, Clara Elizabeth, Renzhi Cao:
Educational Application of Big Data Research: A Comparison of China and US. SERVICES 2020: 28-42 - [i4]Yajun An, Zachary Golden, Tarka Wilcox, Renzhi Cao:
High Definition image classification in Geoscience using Machine Learning. CoRR abs/2010.03965 (2020)
2010 – 2019
- 2018
- [c2]Jingjing Yang, Renzhi Cao, Dong Si:
EMNets: A Convolutional Autoencoder for Protein Surface Retrieval Based on Cryo-Electron Microscopy Imaging. BCB 2018: 639-644 - 2017
- [j9]Renzhi Cao, Badri Adhikari, Debswapna Bhattacharya, Miao Sun, Jie Hou, Jianlin Cheng:
QAcon: single model quality assessment using protein structural and contact information with machine learning techniques. Bioinform. 33(4): 586-588 (2017) - [i3]Renzhi Cao, Colton Freitas, Leong Chan, Miao Sun, Haiqing Jiang, Zhangxin Chen:
ProLanGO: Protein Function Prediction Using Neural~Machine Translation Based on a Recurrent Neural Network. CoRR abs/1710.07016 (2017) - 2016
- [j8]Debswapna Bhattacharya, Renzhi Cao, Jianlin Cheng:
UniCon3D: de novo protein structure prediction using united-residue conformational search via stepwise, probabilistic sampling. Bioinform. 32(18): 2791-2799 (2016) - [j7]Renzhi Cao, Debswapna Bhattacharya, Jie Hou, Jianlin Cheng:
DeepQA: improving the estimation of single protein model quality with deep belief networks. BMC Bioinform. 17: 495:1-495:9 (2016) - [j6]Debswapna Bhattacharya, Jackson Nowotny, Renzhi Cao, Jianlin Cheng:
3Drefine: an interactive web server for efficient protein structure refinement. Nucleic Acids Res. 44(Webserver-Issue): W406-W409 (2016) - [i2]Renzhi Cao, Taeho Jo, Jianlin Cheng:
Evaluation of Protein Structural Models Using Random Forests. CoRR abs/1602.04277 (2016) - [i1]Renzhi Cao, Debswapna Bhattacharya, Jie Hou, Jianlin Cheng:
DeepQA: Improving the estimation of single protein model quality with deep belief networks. CoRR abs/1607.04379 (2016) - 2015
- [j5]Renzhi Cao, Debswapna Bhattacharya, Badri Adhikari, Jilong Li, Jianlin Cheng:
Large-scale model quality assessment for improving protein tertiary structure prediction. Bioinform. 31(12): 116-123 (2015) - [j4]Jilong Li, Renzhi Cao, Jianlin Cheng:
A large-scale conformation sampling and evaluation server for protein tertiary structure prediction and its assessment in CASP11. BMC Bioinform. 16: 337:1-337:11 (2015) - [j3]Jackson Nowotny, Sharif Ahmed, Lingfei Xu, Oluwatosin Oluwadare, Hannah Chen, Noelan Hensley, Tuan Trieu, Renzhi Cao, Jianlin Cheng:
Iterative reconstruction of three-dimensional models of human chromosomes from chromosomal contact data. BMC Bioinform. 16: 338:1-338:19 (2015) - [c1]Jilong Li, Renzhi Cao, Jianlin Cheng:
MULTICOM: a large-scale conformation sampling and evaluation server for protein tertiary structure prediction. BCB 2015: 537 - 2014
- [j2]Renzhi Cao, Zheng Wang, Yiheng Wang, Jianlin Cheng:
SMOQ: a tool for predicting the absolute residue-specific quality of a single protein model with support vector machines. BMC Bioinform. 15: 120 (2014) - 2013
- [j1]Zheng Wang, Renzhi Cao, Jianlin Cheng:
Three-Level Prediction of Protein Function by Combining Profile-Sequence Search, Profile-Profile Search, and Domain Co-Occurrence Networks. BMC Bioinform. 14(S-3): S3 (2013)
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