Maqsood Hayat

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 18

Top Topics

Protein Interaction

Machine Learning

Feature Representations

Top Venues

Artif. Intell. Medicine

Comput. Biol. Medicine

Comput. Methods Programs Biomed.

Publications

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) (2024)
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 (2024)
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) (2023)
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) (2022)
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 (2022)
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 (2022)
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 (2021)
Muhammad Tahir, Maqsood Hayat, Shahzad Khan, Kil To Chong
Prediction of Piwi-Interacting RNAs and Their Functions via Convolutional Neural Network. IEEE Access 9 (2021)
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 (2020)
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) (2020)
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 (2020)
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) (2020)
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 (2017)
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 (2017)
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 (2017)
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 (2017)
Muhammad Waris, Khurshid Ahmad, Muhammad Kabir, Maqsood Hayat
Identification of DNA binding proteins using evolutionary profiles position specific scoring matrix. Neurocomputing 199 (2016)
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 (2016)
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) (2015)
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 (2015)
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) (2014)
Maqsood Hayat, Asifullah Khan
Prediction of membrane protein types by using dipeptide and pseudo amino acid composition-based composite features. IET Commun. 6 (18) (2012)
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) (2011)