Jie Hou
Jie Hou
在 slu.edu 的电子邮件经过验证 - 首页
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ...
Genome biology 20 (1), 1-23, 2019
DeepQA: improving the estimation of single protein model quality with deep belief networks
R Cao, D Bhattacharya, J Hou, J Cheng
BMC bioinformatics 17 (1), 1-9, 2016
DeepSF: deep convolutional neural network for mapping protein sequences to folds
J Hou, B Adhikari, J Cheng
Bioinformatics 34 (8), 1295-1303, 2018
DNCON2: improved protein contact prediction using two-level deep convolutional neural networks
B Adhikari, J Hou, J Cheng
Bioinformatics 34 (9), 1466-1472, 2018
Improving protein fold recognition by deep learning networks
T Jo, J Hou, J Eickholt, J Cheng
Scientific reports 5 (1), 1-11, 2015
Protein tertiary structure modeling driven by deep learning and contact distance prediction in CASP13
J Hou, T Wu, R Cao, J Cheng
Proteins: Structure, Function, and Bioinformatics 87 (12), 1165-1178, 2019
QAcon: single model quality assessment using protein structural and contact information with machine learning techniques
R Cao, B Adhikari, D Bhattacharya, M Sun, J Hou, J Cheng
Bioinformatics 33 (4), 586-588, 2017
Blind prediction of homoand heteroprotein complexes: The CASP13CAPRI experiment
MF Lensink, G Brysbaert, N Nadzirin, S Velankar, RAG Chaleil, T Gerguri, ...
Proteins: Structure, Function, and Bioinformatics 87 (12), 1200-1221, 2019
Deep learning to predict protein backbone structure from high-resolution cryo-EM density maps
D Si, SA Moritz, J Pfab, J Hou, R Cao, L Wang, T Wu, J Cheng
Scientific reports 10 (1), 1-22, 2020
Estimation of model accuracy in CASP13
J Cheng, MH Choe, A Elofsson, KS Han, J Hou, AHA Maghrabi, ...
Proteins: Structure, Function, and Bioinformatics 87 (12), 1361-1377, 2019
Bioinformatics methods for mass spectrometry-based proteomics data analysis
C Chen, J Hou, JJ Tanner, J Cheng
International journal of molecular sciences 21 (8), 2873, 2020
Deep learning methods for protein torsion angle prediction
H Li, J Hou, B Adhikari, Q Lyu, J Cheng
BMC bioinformatics 18 (1), 1-13, 2017
Global impacts of chromosomal imbalance on gene expression in Arabidopsis and other taxa
J Hou, X Shi, C Chen, MS Islam, AF Johnson, T Kanno, B Huettel, MR Yen, ...
Proceedings of the National Academy of Sciences 115 (48), E11321-E11330, 2018
ConEVA: a toolbox for comprehensive assessment of protein contacts
B Adhikari, J Nowotny, D Bhattacharya, J Hou, J Cheng
BMC bioinformatics 17 (1), 1-12, 2016
Protein contact prediction by integrating deep multiple sequence alignments, coevolution and machine learning
B Adhikari, J Hou, J Cheng
Proteins: Structure, Function, and Bioinformatics 86, 84-96, 2018
An overview of bioinformatics methods for modeling biological pathways in yeast
J Hou, L Acharya, D Zhu, J Cheng
Briefings in functional genomics 15 (2), 95-108, 2016
An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12
C Keasar, LJ McGuffin, B Wallner, G Chopra, B Adhikari, D Bhattacharya, ...
Scientific reports 8 (1), 1-18, 2018
Effects of aged garlic extract and FruArg on gene expression and signaling pathways in lipopolysaccharide-activated microglial cells
H Song, Y Lu, Z Qu, VV Mossine, MB Martin, J Hou, J Cui, BA Peculis, ...
Scientific reports 6 (1), 1-10, 2016
DeepDist: real-value inter-residue distance prediction with deep residual convolutional network
T Wu, Z Guo, J Hou, J Cheng
BMC bioinformatics 22 (1), 1-17, 2021
From analysis of ischemic mouse brain proteome to identification of human serum clusterin as a potential biomarker for severity of acute ischemic stroke
H Song, H Zhou, Z Qu, J Hou, W Chen, W Cai, Q Cheng, DY Chuang, ...
Translational stroke research 10 (5), 546-556, 2019
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