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)

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)

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)

iPro-TCN: Prediction of DNA Promoters Recognition and Their Strength Using Temporal Convolutional Network. - Ali Raza; Waleed Alam; Shahzad Khan; Muhammad Tahir 007; Kil To Chong 001 (IEEE Access, 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 Integrated Multi-Model Framework Utilizing Convolutional Neural Networks Coupled with Feature Extraction for Identification of 4mC Sites in DNA Sequences. - Muhammad Tahir 007; Shahid Hussain 002; Fawaz Khaled Alarfaj (Comput. Biol. Medicine, 2024)