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Muhammad Tahir
Muhammad Tahir
Assistant Professor Department of Computer Science
Dirección de correo verificada de awkum.edu.pk - Página principal
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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
1052016
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
932020
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
932019
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
842019
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
842019
iPseU-CNN: identifying RNA pseudouridine sites using convolutional neural networks
M Tahir, H Tayara, KT Chong
Molecular Therapy-Nucleic Acids 16, 463-470, 2019
692019
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
632019
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
532017
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
432015
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
422021
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, 77-81, 2016
422016
Identification of prokaryotic promoters and their strength by integrating heterogeneous features
H Tayara, M Tahir, KT Chong
Genomics 112 (2), 1396-1403, 2020
402020
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
362017
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
312015
iSS-CNN: Identifying splicing sites using convolution neural network
H Tayara, M Tahir, KT Chong
Chemometrics and Intelligent Laboratory Systems 188, 63-69, 2019
282019
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
262022
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
262020
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
262020
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
262020
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
222022
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