| iEnhancer-5Step: identifying enhancers using hidden information of DNA sequences via Chou's 5-step rule and word embedding NQK Le, EKY Yapp, QT Ho, N Nagasundaram, YY Ou, HY Yeh Analytical biochemistry 571, 53-61, 2019 | 134 | 2019 |
| Classifying promoters by interpreting the hidden information of DNA sequences via deep learning and combination of continuous fasttext N-grams NQK Le, EKY Yapp, N Nagasundaram, HY Yeh Frontiers in bioengineering and biotechnology 7, 305, 2019 | 118 | 2019 |
| A fully coupled simulation of PAH and soot growth with a population balance model D Chen, Z Zainuddin, E Yapp, J Akroyd, S Mosbach, M Kraft Proceedings of the Combustion Institute 34 (1), 1827-1835, 2013 | 111 | 2013 |
| XGBoost improves classification of MGMT promoter methylation status in IDH1 wildtype glioblastoma NQK Le, DT Do, FY Chiu, EKY Yapp, HY Yeh, CY Chen Journal of personalized medicine 10 (3), 128, 2020 | 98 | 2020 |
| Application of computational biology and artificial intelligence technologies in cancer precision drug discovery N Nagarajan, EKY Yapp, NQK Le, B Kamaraj, AM Al-Subaie, HY Yeh BioMed research international 2019 (1), 8427042, 2019 | 88 | 2019 |
| Identification of clathrin proteins by incorporating hyperparameter optimization in deep learning and PSSM profiles NQK Le, TT Huynh, EKY Yapp, HY Yeh Computer methods and programs in biomedicine 177, 81-88, 2019 | 80 | 2019 |
| Numerical simulation and parametric sensitivity study of particle size distributions in a burner-stabilised stagnation flame EKY Yapp, D Chen, J Akroyd, S Mosbach, M Kraft, J Camacho, H Wang Combustion and Flame 162 (6), 2569-2581, 2015 | 80 | 2015 |
| The polarization of polycyclic aromatic hydrocarbons curved by pentagon incorporation: the role of the flexoelectric dipole JW Martin, RI Slavchov, EKY Yapp, J Akroyd, S Mosbach, M Kraft The Journal of Physical Chemistry C 121 (48), 27154-27163, 2017 | 72 | 2017 |
| iMotor-CNN: Identifying molecular functions of cytoskeleton motor proteins using 2D convolutional neural network via Chou's 5-step rule NQK Le, EKY Yapp, YY Ou, HY Yeh Analytical biochemistry 575, 17-26, 2019 | 67 | 2019 |
| ET-GRU: using multi-layer gated recurrent units to identify electron transport proteins NQK Le, EKY Yapp, HY Yeh BMC bioinformatics 20, 1-12, 2019 | 61 | 2019 |
| DeepETC: A deep convolutional neural network architecture for investigating and classifying electron transport chain's complexes NQK Le, QT Ho, EKY Yapp, YY Ou, HY Yeh Neurocomputing 375, 71-79, 2020 | 58 | 2020 |
| Soot particle size distributions in premixed stretch-stabilized flat ethylene–oxygen–argon flames J Camacho, AV Singh, W Wang, R Shan, EKY Yapp, D Chen, M Kraft, ... Proceedings of the combustion institute 36 (1), 1001-1009, 2017 | 51 | 2017 |
| Computational identification of vesicular transport proteins from sequences using deep gated recurrent units architecture NQK Le, EKY Yapp, N Nagasundaram, MCH Chua, HY Yeh Computational and Structural Biotechnology Journal 17, 1245-1254, 2019 | 47 | 2019 |
| Comparison of base classifiers for multi-label learning EKY Yapp, X Li, WF Lu, PS Tan Neurocomputing, 2020 | 46 | 2020 |
| Incorporating convolutional neural networks and sequence graph transform for identifying multilabel protein Lysine PTM sites JN Sua, SY Lim, MH Yulius, X Su, EKY Yapp, NQK Le, HY Yeh, ... Chemometrics and Intelligent Laboratory Systems 206, 104171, 2020 | 45 | 2020 |
| Modelling PAH curvature in laminar premixed flames using a detailed population balance model EKY Yapp, CG Wells, J Akroyd, S Mosbach, R Xu, M Kraft Combustion and Flame 176, 172-180, 2017 | 38 | 2017 |
| Numerical simulation and parametric sensitivity study of optical band gap in a laminar co-flow ethylene diffusion flame EKY Yapp, RIA Patterson, J Akroyd, S Mosbach, EM Adkins, JH Miller, ... Combustion and Flame 167, 320-334, 2016 | 36 | 2016 |
| Extension of moment projection method to the fragmentation process S Wu, EKY Yapp, J Akroyd, S Mosbach, R Xu, W Yang, M Kraft Journal of Computational Physics 335, 516-534, 2017 | 33 | 2017 |
| A detailed particle model for polydisperse aggregate particles CS Lindberg, MY Manuputty, EKY Yapp, J Akroyd, R Xu, M Kraft Journal of Computational Physics 397, 108799, 2019 | 27 | 2019 |
| Continual learning via inter-task synaptic mapping F Mao, W Weng, M Pratama, EYK Yee Knowledge-Based Systems 222, 106947, 2021 | 26 | 2021 |
Markus KraftUniversity of Cambridge, MITcam.ac.uk üzerinde doğrulanmış e-posta adresine sahip