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ORCIDJie Hou 0001
Person information
- affiliation: Saint Louis University, Department of Computer Science, MO, USA
- affiliation (PhD 2019): University of Missouri, Columbia, MO, USA
Other persons with the same name
- Jie Hou — disambiguation page
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2020 – today
- 2023
[j16]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)- [c6]Da Yan, Ariful Azad, Jie Hou, Jake Y. Chen, Mohammed J. Zaki:
22nd International Workshop on Data Mining in Bioinformatics (BIOKDD 2023). KDD 2023: 5897-5898 - 2022
- [j15]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
- [j14]Zhiye Guo, Tianqi Wu, Jian Liu, Jie Hou, Jianlin Cheng:
Improving deep learning-based protein distance prediction in CASP14. Bioinform. 37(19): 3190-3196 (2021) - [j13]Badri Adhikari, Bikash Shrestha, Matthew Bernardini, Jie Hou, Jamie Lea:
DISTEVAL: a web server for evaluating predicted protein distances. BMC Bioinform. 22(1): 8 (2021) - [j12]Tianqi Wu, Zhiye Guo, Jie Hou, Jianlin Cheng:
DeepDist: real-value inter-residue distance prediction with deep residual convolutional network. BMC Bioinform. 22(1): 30 (2021) - [j11]Chen Chen, Jie Hou, Xiaowen Shi, Hua Yang, James A. Birchler, Jianlin Cheng:
DeepGRN: prediction of transcription factor binding site across cell-types using attention-based deep neural networks. BMC Bioinform. 22(1): 38 (2021) - [j10]Tianqi Wu, Zhiye Guo, Jie Hou, Jianlin Cheng:
Correction to: DeepDist: real‑value inter‑residue distance prediction with deep residual convolutional network. BMC Bioinform. 22(1): 354 (2021) - [i3]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
- [j9]Tianqi Wu, Jie Hou, Badri Adhikari, Jianlin Cheng:
Analysis of several key factors influencing deep learning-based inter-residue contact prediction. Bioinform. 36(4): 1091-1098 (2020) - [c4]Xiao Chen, Nasrin Akhter, Zhiye Guo, Tianqi Wu, Jie Hou, Amarda Shehu, Jianlin Cheng:
Deep Ranking in Template-free Protein Structure Prediction. BCB 2020: 31:1-31:10 - [c3]Tim Kosfeld, Jonathan McMillan, Richard J. DiPaolo, Jie Hou, Tae-Hyuk Ahn:
Performance Evaluation of Viral Infection Diagnosis using T-Cell Receptor Sequence and Artificial Intelligence. BCB 2020: 35:1-35:10
2010 – 2019
- 2019
- [j8]Yuanyuan Bian, Chong He, Jie Hou, Jianlin Cheng, Jing Qiu:
PairedFB: a full hierarchical Bayesian model for paired RNA-seq data with heterogeneous treatment effects. Bioinform. 35(5): 787-797 (2019) - 2018
- [j7]Jie Hou, Badri Adhikari, Jianlin Cheng:
DeepSF: deep convolutional neural network for mapping protein sequences to folds. Bioinform. 34(8): 1295-1303 (2018) - [j6]Badri Adhikari, Jie Hou, Jianlin Cheng:
DNCON2: improved protein contact prediction using two-level deep convolutional neural networks. Bioinform. 34(9): 1466-1472 (2018) - [c2]Jie Hou, Badri Adhikari, Jianlin Cheng:
DeepSF: Deep Convolutional Neural Network for Mapping Protein Sequences to Folds. BCB 2018: 565 - 2017
- [j5]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) - [j4]Haiou Li, Jie Hou, Badri Adhikari, Qiang Lyu, Jianlin Cheng:
Deep learning methods for protein torsion angle prediction. BMC Bioinform. 18(1): 417:1-417:13 (2017) - [i2]Jie Hou, Badri Adhikari, Jianlin Cheng:
DeepSF: deep convolutional neural network for mapping protein sequences to folds. CoRR abs/1706.01010 (2017) - 2016
- [j3]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) - [j2]Badri Adhikari, Jackson Nowotny, Debswapna Bhattacharya, Jie Hou, Jianlin Cheng:
ConEVA: a toolbox for comprehensive assessment of protein contacts. BMC Bioinform. 17: 517:1-517:12 (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
- [j1]Jie Hou, Gary Stacey, Jianlin Cheng:
Exploring soybean metabolic pathways based on probabilistic graphical model and knowledge-based methods. EURASIP J. Bioinform. Syst. Biol. 2015: 5 (2015) - [c1]Jilong Li, Jie Hou, Lin Sun, Jordan Maximillian Wilkins, Yuan Lu, Chad E. Niederhuth, Benjamin Ryan Merideth, Thomas P. Mawhinney, Valeri V. Mossine, Michael Greenlief, John C. Walker, William R. Folk, Mark Hannink, Dennis B. Lubahn, James A. Birchler, Jianlin Cheng:
From gigabyte to kilobyte: a bioinformatics protocol for mining large RNA-Seq transcriptomics data. BCB 2015: 535-536
Coauthor Index
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