| Early and accurate detection and diagnosis of heart disease using intelligent computational model Y Muhammad, M Tahir, M Hayat, KT Chong Scientific reports 10 (1), 19747, 2020 | 147 | 2020 |
| iNuc-STNC: a sequence-based predictor for identification of nucleosome positioning in genomes by extending the concept of SAAC and Chou's PseAAC M Tahir, M Hayat Molecular BioSystems 12 (8), 2587-2593, 2016 | 110 | 2016 |
| iRNA-PseKNC (2methyl): Identify RNA 2'-O-methylation sites by convolution neural network and Chou's pseudo components M Tahir, H Tayara, KT Chong Journal of theoretical biology 465, 1-6, 2019 | 102 | 2019 |
| iDNA6mA (5-step rule): Identification of DNA N6-methyladenine sites in the rice genome by intelligent computational model via Chou's 5-step rule M Tahir, H Tayara, KT Chong Chemometrics and Intelligent Laboratory Systems 189, 96-101, 2019 | 93 | 2019 |
| iN6-Methyl (5-step): Identifying RNA N6-methyladenosine sites using deep learning mode via Chou's 5-step rules and Chou's general PseKNC I Nazari, M Tahir, H Tayara, KT Chong Chemometrics and Intelligent Laboratory Systems 193, 103811, 2019 | 89 | 2019 |
| cACP-DeepGram: classification of anticancer peptides via deep neural network and skip-gram-based word embedding model S Akbar, M Hayat, M Tahir, S Khan, FK Alarfaj Artificial intelligence in medicine 131, 102349, 2022 | 78 | 2022 |
| Deep-AntiFP: Prediction of antifungal peptides using distanct multi-informative features incorporating with deep neural networks A Ahmad, S Akbar, S Khan, M Hayat, F Ali, A Ahmed, M Tahir Chemometrics and Intelligent Laboratory Systems 208, 104214, 2021 | 78 | 2021 |
| iPseU-CNN: identifying RNA pseudouridine sites using convolutional neural networks M Tahir, H Tayara, KT Chong Molecular Therapy-Nucleic Acids 16, 463-470, 2019 | 78 | 2019 |
| iNuc-ext-PseTNC: an efficient ensemble model for identification of nucleosome positioning by extending the concept of Chou’s PseAAC to pseudo-tri-nucleotide composition M Tahir, M Hayat, SA Khan Molecular Genetics and Genomics 294, 199-210, 2019 | 67 | 2019 |
| iAFPs-EnC-GA: identifying antifungal peptides using sequential and evolutionary descriptors based multi-information fusion and ensemble learning approach A Ahmad, S Akbar, M Tahir, M Hayat, F Ali Chemometrics and Intelligent Laboratory Systems 222, 104516, 2022 | 64 | 2022 |
| Sequence based predictor for discrimination of enhancer and their types by applying general form of Chou's trinucleotide composition M Tahir, M Hayat, M Kabir Computer methods and programs in biomedicine 146, 69-75, 2017 | 59 | 2017 |
| Identification of prokaryotic promoters and their strength by integrating heterogeneous features H Tayara, M Tahir, KT Chong Genomics 112 (2), 1396-1403, 2020 | 53 | 2020 |
| cACP-2LFS: classification of anticancer peptides using sequential discriminative model of KSAAP and two-level feature selection approach S Akbar, M Hayat, M Tahir, KT Chong Ieee Access 8, 131939-131948, 2020 | 45 | 2020 |
| Framework for better reusability in component based software engineering M Tahir, F Khan, M Babar, F Arif, F Khan the Journal of Applied Environmental and Biological Sciences (JAEBS), 6 (4S …, 2016 | 40 | 2016 |
| Applications, limitations, and improvements in visible light communication systems F Khan, SR Jan, M Tahir, S Khan 2015 International Conference on Connected Vehicles and Expo (ICCVE), 259-262, 2015 | 40 | 2015 |
| Machine learning based identification of protein–protein interactions using derived features of physiochemical properties and evolutionary profiles M Tahir, M Hayat Artificial intelligence in medicine 78, 61-71, 2017 | 38 | 2017 |
| iSS-CNN: Identifying splicing sites using convolution neural network H Tayara, M Tahir, KT Chong Chemometrics and Intelligent Laboratory Systems 188, 63-69, 2019 | 33 | 2019 |
| iRNA-PseTNC: identification of RNA 5-methylcytosine sites using hybrid vector space of pseudo nucleotide composition S Akbar, M Hayat, M Iqbal, M Tahir Frontiers of Computer Science 14, 451-460, 2020 | 32 | 2020 |
| PSOFuzzySVM-TMH: identification of transmembrane helix segments using ensemble feature space by incorporated fuzzy support vector machine M Hayat, M Tahir Molecular BioSystems 11 (8), 2255-2262, 2015 | 31 | 2015 |
| Prediction of N6-methyladenosine sites using convolution neural network model based on distributed feature representations M Tahir, M Hayat, KT Chong Neural Networks 129, 385-391, 2020 | 30 | 2020 |
Dr. Maqsood Hayat Tenured ProfessorComputer Science, Abdul Wali Khan University MardanVerified email at awkum.edu.pk