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2020 – today
- 2024
[j23]Waleed Alam
, Muhammad Tahir, Shahid Hussain, Sarah Gul, Maqsood Hayat, Reyazur Rashid Irshad, Fabiano Pallonetto:
Unveiling the Potential Pattern Representation of RNA 5-Methyluridine Modification Sites Through a Novel Feature Fusion Model Leveraging Convolutional Neural Network and Tetranucleotide Composition. IEEE Access 12: 10023-10035 (2024)- [j22]Muhammad Tahir, Fazlullah Khan, Maqsood Hayat, Mohammad Dahman Alshehri:
An effective machine learning-based model for the prediction of protein-protein interaction sites in health systems. Neural Comput. Appl. 36(1): 65-75 (2024) - 2023
- [j21]Mehwish Gill, Saeed Ahmed, Muhammad Kabir, Maqsood Hayat:
A Novel Predictor for the Analysis and Prediction of Enhancers and Their Strength via Multi-View Features and Deep Forest. Inf. 14(12): 636 (2023) - 2022
- [j20]Shahid Akbar, Maqsood Hayat, Muhammad Tahir, Salman Khan, Fawaz Khaled Alarfaj:
cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model. Artif. Intell. Medicine 131: 102349 (2022) - [j19]Maqsood Hayat, Muhammad Tahir, Fawaz Khaled Alarfaj, Ryan Alturki, Foziah Gazzawe:
NLP-BCH-Ens: NLP-based intelligent computational model for discrimination of malaria parasite. Comput. Biol. Medicine 149: 105962 (2022) - [j18]Asad Jan, Maqsood Hayat, Mohammad O. Wedyan, Ryan Alturki, Foziah Gazzawe, Hashim Ali, Fawaz Khaled Alarfaj:
Target-AMP: Computational prediction of antimicrobial peptides by coupling sequential information with evolutionary profile. Comput. Biol. Medicine 151(Part): 106311 (2022) - 2021
- [j17]Muhammad Tahir, Maqsood Hayat, Shahzad Khan, Kil To Chong:
Prediction of Piwi-Interacting RNAs and Their Functions via Convolutional Neural Network. IEEE Access 9: 54233-54240 (2021) - [j16]Shahid Akbar, Ashfaq Ahmad, Maqsood Hayat, Ateeq Ur Rehman, Salman Khan, Farman Ali:
iAtbP-Hyb-EnC: Prediction of antitubercular peptides via heterogeneous feature representation and genetic algorithm based ensemble learning model. Comput. Biol. Medicine 137: 104778 (2021) - 2020
- [j15]Shahid Akbar, Maqsood Hayat, Muhammad Tahir, Kil To Chong:
cACP-2LFS: Classification of Anticancer Peptides Using Sequential Discriminative Model of KSAAP and Two-Level Feature Selection Approach. IEEE Access 8: 131939-131948 (2020) - [j14]Bashir Khan Yousafzai, Maqsood Hayat, Sher Afzal:
Application of machine learning and data mining in predicting the performance of intermediate and secondary education level student. Educ. Inf. Technol. 25(6): 4677-4697 (2020) - [j13]Shahid Akbar, Maqsood Hayat, Muhammad Iqbal, Muhammad Tahir:
iRNA-PseTNC: identification of RNA 5-methylcytosine sites using hybrid vector space of pseudo nucleotide composition. Frontiers Comput. Sci. 14(2): 451-460 (2020) - [j12]Muhammad Tahir, Maqsood Hayat, Kil To Chong:
Prediction of N6-methyladenosine sites using convolution neural network model based on distributed feature representations. Neural Networks 129: 385-391 (2020)
2010 – 2019
- 2017
- [j11]Jamal Ahmad, Faisal Javed, Maqsood Hayat:
Intelligent computational model for classification of sub-Golgi protein using oversampling and fisher feature selection methods. Artif. Intell. Medicine 78: 14-22 (2017) - [j10]Muhammad Tahir, Maqsood Hayat:
Machine learning based identification of protein-protein interactions using derived features of physiochemical properties and evolutionary profiles. Artif. Intell. Medicine 78: 61-71 (2017) - [j9]Shahid Akbar, Maqsood Hayat, Muhammad Iqbal, Mian Ahmad Jan:
iACP-GAEnsC: Evolutionary genetic algorithm based ensemble classification of anticancer peptides by utilizing hybrid feature space. Artif. Intell. Medicine 79: 62-70 (2017) - [j8]Muhammad Tahir, Maqsood Hayat, Muhammad Kabir:
Sequence based predictor for discrimination of enhancer and their types by applying general form of Chou's trinucleotide composition. Comput. Methods Programs Biomed. 146: 69-75 (2017) - 2016
- [j7]Muhammad Iqbal, Maqsood Hayat:
"iSS-Hyb-mRMR": Identification of splicing sites using hybrid space of pseudo trinucleotide and pseudo tetranucleotide composition. Comput. Methods Programs Biomed. 128: 1-11 (2016) - [j6]Muhammad Waris, Khurshid Ahmad, Muhammad Kabir, Maqsood Hayat:
Identification of DNA binding proteins using evolutionary profiles position specific scoring matrix. Neurocomputing 199: 154-162 (2016) - 2015
- [j5]Muhammad Kabir, Muhammad Iqbal, Saeed Ahmad, Maqsood Hayat:
iTIS-PseKNC: Identification of Translation Initiation Site in human genes using pseudo k-tuple nucleotides composition. Comput. Biol. Medicine 66: 252-257 (2015) - [j4]Saeed Ahmad, Muhammad Kabir, Maqsood Hayat:
Identification of Heat Shock Protein families and J-protein types by incorporating Dipeptide Composition into Chou's general PseAAC. Comput. Methods Programs Biomed. 122(2): 165-174 (2015) - 2014
- [j3]Maqsood Hayat, Nadeem Iqbal:
Discriminating protein structure classes by incorporating Pseudo Average Chemical Shift to Chou's general PseAAC and Support Vector Machine. Comput. Methods Programs Biomed. 116(3): 184-192 (2014) - 2012
- [j2]Maqsood Hayat, Asifullah Khan:
Prediction of membrane protein types by using dipeptide and pseudo amino acid composition-based composite features. IET Commun. 6(18): 3257-3264 (2012) - 2011
- [j1]Asifullah Khan, Abdul Majid, Maqsood Hayat:
CE-PLoc: An ensemble classifier for predicting protein subcellular locations by fusing different modes of pseudo amino acid composition. Comput. Biol. Chem. 35(4): 218-229 (2011)
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