Renzhi Cao

发表

Large-scale model quality assessment for improving protein tertiary structure prediction

Jilong Li, Renzhi Cao, Debswapna Bhattacharya, 2015, Bioinform..

3Drefine: an interactive web server for efficient protein structure refinement

Renzhi Cao, Debswapna Bhattacharya, Jianlin Cheng, 2016, Nucleic Acids Res..

DeepQA: improving the estimation of single protein model quality with deep belief networks

Jie Hou, Renzhi Cao, Debswapna Bhattacharya, 2016, BMC Bioinformatics.

The MULTICOM protein tertiary structure prediction system.

Jilong Li, Renzhi Cao, Debswapna Bhattacharya, 2014, Methods in molecular biology.

ProLanGO2: Protein Function Prediction with Ensemble of Encoder-Decoder Networks

Renzhi Cao, Kyle Hippe, Sola Gbenro, 2020 .

Three-Level Prediction of Protein Function by Combining Profile-Sequence Search, Profile-Profile Search, and Domain Co-Occurrence Networks

Renzhi Cao, Jianlin Cheng, Zheng Wang, 2013, BMC Bioinformatics.

AngularQA: Protein Model Quality Assessment with LSTM Networks

Dong Si, Renzhi Cao, Matthew Conover, 2019, bioRxiv.

ProLanGO: Protein Function Prediction Using Neural Machine Translation Based on a Recurrent Neural Network

Zhangxin Chen, Miao Sun, Haiqing Jiang, 2017, Molecules.

Survey of Machine Learning Techniques in Drug Discovery.

Renzhi Cao, Jie Zhang, Leong Chan, 2019, Current drug metabolism.

Protein tertiary structure modeling driven by deep learning and contact distance prediction in CASP13

Renzhi Cao, Jianlin Cheng, Jie Hou, 2019, bioRxiv.

Protein single-model quality assessment by feature-based probability density functions

Renzhi Cao, Jianlin Cheng, Jianlin Cheng, 2016, Scientific Reports.

SMISS: a protein function prediction server by integrating multiple sources

Renzhi Cao, Jianlin Cheng, Zhaolong Zhong, 2016, International Journal of Computational Intelligence in Bioinformatics and Systems Biology.

UniCon3D: de novo protein structure prediction using united-residue conformational search via stepwise, probabilistic sampling

Renzhi Cao, Debswapna Bhattacharya, Jianlin Cheng, 2016, Bioinform..

Predicting the DJIA with News Headlines and Historic Data Using Hybrid Genetic Algorithm/Support Vector Regression and BERT

Renzhi Cao, Benjamin Warner, Aaron Crook, 2020, BigData.

Hash-chain based Public Key Management Algorithm of Mobile Ad hoc network

Renzhi Cao, Xingfu Wang, Qiuyuan Huang, 2011, 2011 IEEE International Conference on Computer Science and Automation Engineering.

Massive integration of diverse protein quality assessment methods to improve template based modeling in CASP11

Jilong Li, Renzhi Cao, Debswapna Bhattacharya, 2016, Proteins.

Outcomes of the 2019 EMDataResource model challenge: validation of cryo-EM models at near-atomic resolution

Genki Terashi, Daisuke Kihara, Grigore D. Pintilie, 2020, bioRxiv.

Evaluation of Protein Structural Models Using Random Forests pdf

Taeho Jo, Renzhi Cao, Jianlin Cheng, 2016, ArXiv.

High Definition image classification in Geoscience using Machine Learning pdf

Renzhi Cao, Yajun An, Zachary Golden, 2020, ArXiv.

HMMeta: Protein Function Prediction using Hidden Markov Models

Renzhi Cao, Kyle Hippe, Sola Gbenro, 2020 .

Assessing Predicted Contacts for Building Protein Three-Dimensional Models.

Renzhi Cao, Debswapna Bhattacharya, Badri Adhikari, 2017, Methods in molecular biology.

Apply Modified Method of Nonlinear Optimization to Improve Localization Accuracy in WSN

Haiqing Jiang, Renzhi Cao, Xingfu Wang, 2009, 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing.

SMOQ: a tool for predicting the absolute residue-specific quality of a single protein model with support vector machines

Renzhi Cao, Jianlin Cheng, Zheng Wang, 2013, BMC Bioinformatics.

Artificial Intelligence for Bioinformatics: Applications in Protein Folding Prediction

Dong Si, Renzhi Cao, Max Staples, 2019, 2019 IEEE Technology & Engineering Management Conference (TEMSCON).

AngularQA: Protein Model Quality Assessment with LSTM Networks

Miao Sun, Dong Si, Renzhi Cao, 2019 .

A novel anchor-free position algorithm based on cluster technique

Zhiqiang Liu, Renzhi Cao, Xingfu Wang, 2010, 2010 2nd International Conference on Software Technology and Engineering.

Genome data analysis, protein function and structure prediction by machine learning techniques

Renzhi Cao, Renzhi Cao, 2016 .

TopQA: a topological representation for single-model protein quality assessment with machine learning

Dong Si, Renzhi Cao, John Smith, 2020 .

GMOL: An Interactive Tool for 3D Genome Structure Visualization

Renzhi Cao, Jianlin Cheng, Tuan Trieu, 2015, Scientific Reports.

Designing and evaluating the MULTICOM protein local and global model quality prediction methods in the CASP10 experiment

Zheng Wang, Renzhi Cao, Jianlin Cheng, 2014, BMC Structural Biology.

A large-scale conformation sampling and evaluation server for protein tertiary structure prediction and its assessment in CASP11

Jilong Li, Renzhi Cao, Jianlin Cheng, 2015, BMC Bioinformatics.

Artificial Intelligence on Job-Hopping Forecasting: AI on Job-Hopping

Hongtao Zhang, Renzhi Cao, Hanfei Mei, 2018, 2018 Portland International Conference on Management of Engineering and Technology (PICMET).

Survey of AI in Cybersecurity for Information Technology Management

Renzhi Cao, Devin Ober, Leong Chan, 2019, 2019 IEEE Technology & Engineering Management Conference (TEMSCON).

Deep convolutional neural networks for predicting the quality of single protein structural models

Renzhi Cao, Jianlin Cheng, Jie Hou, 2019, bioRxiv.

QAcon: single model quality assessment using protein structural and contact information with machine learning techniques

Miao Sun, Jie Hou, Renzhi Cao, 2016, Bioinform..

Protein tertiary structure modeling driven by deep learning and contact distance prediction in CASP13

Renzhi Cao, Jianlin Cheng, Jie Hou, 2019, Proteins.

MULTICOM: a large-scale conformation sampling and evaluation server for protein tertiary structure prediction

Jilong Li, Renzhi Cao, Jianlin Cheng, 2015, BCB.

EMNets: A Convolutional Autoencoder for Protein Surface Retrieval Based on Cryo-Electron Microscopy Imaging

Jingjing Yang, Dong Si, Renzhi Cao, 2018, BCB.

The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

Tapio Salakoski, Feng Zhang, Paolo Fontana, 2019, Genome Biology.

TopQA: a topological representation for single-model protein quality assessment with machine learning

Dong Si, Renzhi Cao, Jesse Eickholt, 2020, Int. J. Comput. Biol. Drug Des..

Iterative reconstruction of three-dimensional models of human chromosomes from chromosomal contact data

Renzhi Cao, Jianlin Cheng, Tuan Trieu, 2015, BMC Bioinformatics.

Educational Application of Big Data Research: A Comparison of China and US

Renzhi Cao, Ting Zhang, Clara Elizabeth, 2020, SERVICES.

Deep Learning to Predict Protein Backbone Structure from High-Resolution Cryo-EM Density Maps

Dong Si, Renzhi Cao, Jianlin Cheng, 2020, Scientific Reports.

Artificial Intelligence for Bioinformatics: Applications in Protein Folding Prediction

Dong Si, Renzhi Cao, Max Staples, 2019 .

An expanded evaluation of protein function prediction methods shows an improvement in accuracy

Tapio Salakoski, Paolo Fontana, Silvio C. E. Tosatto, 2016, Genome Biology.

An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12

Adam Liwo, Yi He, Jilong Li, 2018, Scientific Reports.

Computational identification of N4-methylcytosine sites in the mouse genome with machine-learning method.

Hui Ding, Renzhi Cao, Kyle Hippe, 2021, Mathematical biosciences and engineering : MBE.

Artificial intelligence advances for de novo molecular structure modeling in cryo‐electron microscopy pdf

Dong Si, Renzhi Cao, Kyle Hippe, 2021, WIREs Computational Molecular Science.

Deep Learning to Predict Protein Backbone Structure from High-Resolution Cryo-EM Density Maps

Dong Si, Renzhi Cao, Jianlin Cheng, 2019, bioRxiv.

The Properties of Genome Conformation and Spatial Gene Interaction and Regulation Networks of Normal and Malignant Human Cell Types

Renzhi Cao, Jianlin Cheng, Zheng Wang, 2013, PloS one.

Deciphering the association between gene function and spatial gene-gene interactions in 3D human genome conformation

Renzhi Cao, Jianlin Cheng, 2015, BMC Genomics.

Integrated protein function prediction by mining function associations, sequences, and protein-protein and gene-gene interaction networks.

Renzhi Cao, Jianlin Cheng, Jianlin Cheng, 2016, Methods.

The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

Jari Björne, Tapio Salakoski, Giorgio Valentini, 2019, Genome Biology.

A two-step discriminated method to identify thermophilic proteins

Hua Tang, Wang Liming, Renzhi Cao, 2017 .