Follow
Jie Hou
Title
Cited by
Cited by
Year
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, 1-23, 2019
3592019
DeepSF: deep convolutional neural network for mapping protein sequences to folds
J Hou, B Adhikari, J Cheng
Bioinformatics 34 (8), 1295-1303, 2018
2082018
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
2042020
DNCON2: improved protein contact prediction using two-level deep convolutional neural networks
B Adhikari, J Hou, J Cheng
Bioinformatics 34 (9), 1466-1472, 2018
1792018
DeepQA: improving the estimation of single protein model quality with deep belief networks
R Cao, D Bhattacharya, J Hou, J Cheng
BMC bioinformatics 17, 1-9, 2016
1712016
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
1592019
Improving protein fold recognition by deep learning networks
T Jo, J Hou, J Eickholt, J Cheng
Scientific reports 5 (1), 1-11, 2015
1372015
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
1172019
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), 4282, 2020
942020
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
942017
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
922019
Cryo-EM model validation recommendations based on outcomes of the 2019 EMDataResource challenge
CL Lawson, A Kryshtafovych, PD Adams, PV Afonine, ML Baker, ...
Nature methods 18 (2), 156-164, 2021
762021
Deep learning methods for protein torsion angle prediction
H Li, J Hou, B Adhikari, Q Lyu, J Cheng
BMC bioinformatics 18, 1-13, 2017
642017
DeepDist: real-value inter-residue distance prediction with deep residual convolutional network
T Wu, Z Guo, J Hou, J Cheng
BMC bioinformatics 22, 1-17, 2021
632021
DeepGRN: prediction of transcription factor binding site across cell-types using attention-based deep neural networks
C Chen, J Hou, X Shi, H Yang, JA Birchler, J Cheng
BMC bioinformatics 22, 1-18, 2021
602021
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
592018
DNSS2: Improved ab initio protein secondary structure prediction using advanced deep learning architectures
Z Guo, J Hou, J Cheng
Proteins: Structure, Function, and Bioinformatics 89 (2), 207-217, 2021
442021
Sequence of the supernumerary B chromosome of maize provides insight into its drive mechanism and evolution
N Blavet, H Yang, H Su, P Solanský, RN Douglas, M Karafiátová, ...
Proceedings of the National Academy of Sciences 118 (23), e2104254118, 2021
372021
Analysis of several key factors influencing deep learning-based inter-residue contact prediction
T Wu, J Hou, B Adhikari, J Cheng
Bioinformatics 36 (4), 1091-1098, 2020
322020
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
282016
The system can't perform the operation now. Try again later.
Articles 1–20