Jie Hou
Orcid: 0000-0002-8584-5154Affiliations:
- Saint Louis University, Department of Computer Science, MO, USA
- University of Missouri, Columbia, MO, USA (PhD 2019)
According to our database1,
Jie Hou
authored at least 22 papers
between 2015 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
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on cs.slu.edu
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on dl.acm.org
On csauthors.net:
Bibliography
2023
Fast and automated protein-DNA/RNA macromolecular complex modeling from cryo-EM maps.
Briefings Bioinform., March, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
2022
ZoomQA: residue-level protein model accuracy estimation with machine learning on sequential and 3D structural features.
Briefings Bioinform., 2022
Deep graph learning to estimate protein model quality using structural constraints from multiple sequence alignments.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022
2021
Artificial Intelligence Advances for De Novo Molecular Structure Modeling in Cryo-EM.
CoRR, 2021
Correction to: DeepDist: real‑value inter‑residue distance prediction with deep residual convolutional network.
BMC Bioinform., 2021
DeepDist: real-value inter-residue distance prediction with deep residual convolutional network.
BMC Bioinform., 2021
DeepGRN: prediction of transcription factor binding site across cell-types using attention-based deep neural networks.
BMC Bioinform., 2021
BMC Bioinform., 2021
Bioinform., 2021
2020
Analysis of several key factors influencing deep learning-based inter-residue contact prediction.
Bioinform., 2020
Performance Evaluation of Viral Infection Diagnosis using T-Cell Receptor Sequence and Artificial Intelligence.
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020
2019
PairedFB: a full hierarchical Bayesian model for paired RNA-seq data with heterogeneous treatment effects.
Bioinform., 2019
2018
Bioinform., 2018
DNCON2: improved protein contact prediction using two-level deep convolutional neural networks.
Bioinform., 2018
2017
QAcon: single model quality assessment using protein structural and contact information with machine learning techniques.
Bioinform., 2017
2016
DeepQA: improving the estimation of single protein model quality with deep belief networks.
BMC Bioinform., 2016
BMC Bioinform., 2016
2015
Exploring soybean metabolic pathways based on probabilistic graphical model and knowledge-based methods.
EURASIP J. Bioinform. Syst. Biol., 2015
From gigabyte to kilobyte: a bioinformatics protocol for mining large RNA-Seq transcriptomics data.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015