CE-PLoc: An ensemble classifier for predicting protein subcellular locations by fusing different modes of pseudo amino acid composition. - Asifullah Khan; Abdul Majid; Maqsood Hayat (Comput. Biol. Chem., 2011)

Prediction of membrane protein types by using dipeptide and pseudo amino acid composition-based composite features. - Maqsood Hayat; Asifullah Khan (IET Commun., 2012)

Discriminating protein structure classes by incorporating Pseudo Average Chemical Shift to Chou's general PseAAC and Support Vector Machine. - Maqsood Hayat; Nadeem Iqbal 002 (Comput. Methods Programs Biomed., 2014)

iTIS-PseKNC: Identification of Translation Initiation Site in human genes using pseudo k-tuple nucleotides composition. - Muhammad Kabir; Muhammad Iqbal; Saeed Ahmad; Maqsood Hayat (Comput. Biol. Medicine, 2015)

Identification of Heat Shock Protein families and J-protein types by incorporating Dipeptide Composition into Chou's general PseAAC. - Saeed Ahmad; Muhammad Kabir; Maqsood Hayat (Comput. Methods Programs Biomed., 2015)

"iSS-Hyb-mRMR": Identification of splicing sites using hybrid space of pseudo trinucleotide and pseudo tetranucleotide composition. - Muhammad Iqbal; Maqsood Hayat (Comput. Methods Programs Biomed., 2016)

Identification of DNA binding proteins using evolutionary profiles position specific scoring matrix. - Muhammad Waris; Khurshid Ahmad; Muhammad Kabir; Maqsood Hayat (Neurocomputing, 2016)

Intelligent computational model for classification of sub-Golgi protein using oversampling and fisher feature selection methods. - Jamal Ahmad; Faisal Javed; Maqsood Hayat (Artif. Intell. Medicine, 2017)

iACP-GAEnsC: Evolutionary genetic algorithm based ensemble classification of anticancer peptides by utilizing hybrid feature space. - Shahid Akbar; Maqsood Hayat; Muhammad Iqbal; Mian Ahmad Jan (Artif. Intell. Medicine, 2017)

Machine learning based identification of protein-protein interactions using derived features of physiochemical properties and evolutionary profiles. - Muhammad Tahir 007; Maqsood Hayat (Artif. Intell. Medicine, 2017)

Sequence based predictor for discrimination of enhancer and their types by applying general form of Chou's trinucleotide composition. - Muhammad Tahir 007; Maqsood Hayat; Muhammad Kabir (Comput. Methods Programs Biomed., 2017)

cACP-2LFS: Classification of Anticancer Peptides Using Sequential Discriminative Model of KSAAP and Two-Level Feature Selection Approach. - Shahid Akbar; Maqsood Hayat; Muhammad Tahir 007; Kil To Chong 001 (IEEE Access, 2020)

Application of machine learning and data mining in predicting the performance of intermediate and secondary education level student. - Bashir Khan Yousafzai; Maqsood Hayat; Sher Afzal (Educ. Inf. Technol., 2020)

iRNA-PseTNC: identification of RNA 5-methylcytosine sites using hybrid vector space of pseudo nucleotide composition. - Shahid Akbar; Maqsood Hayat; Muhammad Iqbal; Muhammad Tahir 007 (Frontiers Comput. Sci., 2020)

Prediction of N6-methyladenosine sites using convolution neural network model based on distributed feature representations. - Muhammad Tahir 007; Maqsood Hayat; Kil To Chong 001 (Neural Networks, 2020)

Prediction of Piwi-Interacting RNAs and Their Functions via Convolutional Neural Network. - Muhammad Tahir 007; Maqsood Hayat; Shahzad Khan; Kil To Chong 001 (IEEE Access, 2021)

iAtbP-Hyb-EnC: Prediction of antitubercular peptides via heterogeneous feature representation and genetic algorithm based ensemble learning model. - Shahid Akbar; Ashfaq Ahmad; Maqsood Hayat; Ateeq Ur Rehman 001; Salman Khan 005; Farman Ali 002 (Comput. Biol. Medicine, 2021)

cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model. - Shahid Akbar; Maqsood Hayat; Muhammad Tahir 007; Salman Khan 005; Fawaz Khaled Alarfaj (Artif. Intell. Medicine, 2022)

NLP-BCH-Ens: NLP-based intelligent computational model for discrimination of malaria parasite. - Maqsood Hayat; Muhammad Tahir 007; Fawaz Khaled Alarfaj; Ryan Alturki; Foziah Gazzawe (Comput. Biol. Medicine, 2022)

Target-AMP: Computational prediction of antimicrobial peptides by coupling sequential information with evolutionary profile. - Asad Jan; Maqsood Hayat; Mohammad O. Wedyan; Ryan Alturki; Foziah Gazzawe; Hashim Ali 001; Fawaz Khaled Alarfaj (Comput. Biol. Medicine, 2022)

A Novel Predictor for the Analysis and Prediction of Enhancers and Their Strength via Multi-View Features and Deep Forest. - Mehwish Gill; Saeed Ahmed; Muhammad Kabir; Maqsood Hayat (Inf., 2023)

Unveiling the Potential Pattern Representation of RNA 5-Methyluridine Modification Sites Through a Novel Feature Fusion Model Leveraging Convolutional Neural Network and Tetranucleotide Composition. - Waleed Alam; Muhammad Tahir 007; Shahid Hussain 002; Sarah Gul; Maqsood Hayat; Reyazur Rashid Irshad; Fabiano Pallonetto (IEEE Access, 2024)

An effective machine learning-based model for the prediction of protein-protein interaction sites in health systems. - Muhammad Tahir 006; Fazlullah Khan; Maqsood Hayat; Mohammad Dahman Alshehri (Neural Comput. Appl., 2024)

pACPs-DNN: Predicting anticancer peptides using novel peptide transformation into evolutionary and structure matrix-based images with self-attention deep learning model. - Shahid; Maqsood Hayat; Ali Raza; Shahid Akbar; Wajdi Alghamdi; Nadeem Iqbal 002; Quan Zou 001 (Comput. Biol. Chem., 2025)