Muhammad Tahir

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 10

Top Topics

Protein Interaction

Facial Landmarks

Feature Representations

Top Venues

Artif. Intell. Medicine

Comput. Biol. Medicine

Frontiers Comput. Sci.

Publications

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)
Ali Raza, Waleed Alam, Shahzad Khan, Muhammad Tahir, Kil To Chong
iPro-TCN: Prediction of DNA Promoters Recognition and Their Strength Using Temporal Convolutional Network. IEEE Access 11 (2023)
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)
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)
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)
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)