| A comprehensive overview of computational protein disorder prediction methods X Deng, J Eickholt, J Cheng Molecular BioSystems 8 (1), 114-121, 2012 | 121 | 2012 |
| PreDisorder: ab initio sequence-based prediction of protein disordered regions X Deng, J Eickholt, J Cheng BMC bioinformatics 10, 1-6, 2009 | 110 | 2009 |
| DoBo: Protein domain boundary prediction by integrating evolutionary signals and machine learning J Eickholt, X Deng, J Cheng BMC bioinformatics 12, 1-8, 2011 | 76 | 2011 |
| WeFold: a coopetition for protein structure prediction GA Khoury, A Liwo, F Khatib, H Zhou, G Chopra, J Bacardit, LO Bortot, ... Proteins: Structure, Function, and Bioinformatics 82 (9), 1850-1868, 2014 | 74 | 2014 |
| The MULTICOM toolbox for protein structure prediction J Cheng, J Li, Z Wang, J Eickholt, X Deng BMC bioinformatics 13, 1-12, 2012 | 47 | 2012 |
| MSACompro: protein multiple sequence alignment using predicted secondary structure, solvent accessibility, and residue-residue contacts X Deng, J Cheng BMC bioinformatics 12, 1-16, 2011 | 39 | 2011 |
| Designing and benchmarking the MULTICOM protein structure prediction system J Li, X Deng, J Eickholt, J Cheng BMC structural biology 13, 1-14, 2013 | 29 | 2013 |
| Reconstructing differentially co-expressed gene modules and regulatory networks of soybean cells M Zhu, X Deng, T Joshi, D Xu, G Stacey, J Cheng BMC genomics 13, 1-13, 2012 | 29 | 2012 |
| An overview of practical applications of protein disorder prediction and drive for faster, more accurate predictions X Deng, J Gumm, S Karki, J Eickholt, J Cheng International journal of molecular sciences 16 (7), 15384-15404, 2015 | 26 | 2015 |
| The MULTICOM protein tertiary structure prediction system J Li, D Bhattacharya, R Cao, B Adhikari, X Deng, J Eickholt, J Cheng Protein Structure Prediction, 29-41, 2014 | 18 | 2014 |
| Improving grounded language understanding in a collaborative environment by interacting with agents through help feedback N Mehta, M Teruel, PF Sanz, X Deng, AH Awadallah, J Kiseleva arXiv preprint arXiv:2304.10750, 2023 | 14 | 2023 |
| Enhancing HMM-based protein profile-profile alignment with structural features and evolutionary coupling information X Deng, J Cheng BMC bioinformatics 15, 1-11, 2014 | 13 | 2014 |
| Recursive protein modeling: a divide and conquer strategy for protein structure prediction and its case study in CASP9 J Cheng, J Eickholt, Z Wang, X Deng Journal of bioinformatics and computational biology 10 (03), 1242003, 2012 | 12 | 2012 |
| Big data technology and ethics considerations in customer behavior and customer feedback mining X Deng 2017 IEEE International Conference on Big Data (Big Data), 3924-3927, 2017 | 11 | 2017 |
| Predicting protein model quality from sequence alignments by support vector machines X Deng, J Li, J Cheng Journal of proteomics & bioinformatics, 2013 | 6 | 2013 |
| Semi-Supervised Learning Approach to Discover Enterprise User Insights from Feedback and Support X Deng, R Smith, G Quintin arXiv, 2020 | 5 | 2020 |
| A Contact-Assisted Approach to Protein Structure Prediction and Its Assessment in CASP10 B Adhikari, D Bhattacharya, X Deng, J Li, J Cheng Workshops at the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013 | 4 | 2013 |
| Recursive protein modeling: a divide and conquer strategy for protein structure prediction and its case study in CASP9 J Cheng, Z Wang, J Eickholt, X Deng 2011 IEEE International Conference on Bioinformatics and Biomedicine …, 2011 | 4 | 2011 |
| MSACompro: improving multiple protein sequence alignment by predicted structural features X Deng, J Cheng Multiple Sequence Alignment Methods, 273-283, 2014 | 3 | 2014 |
| Supporting Complex Information-Seeking Tasks with Implicit Constraints A Ahmadvand, N Arabzadeh, J Kiseleva, PF Sanz, X Deng, S Jauhar, ... arXiv preprint arXiv:2205.00584, 2022 | 2 | 2022 |
