Hafeez Ur Rehman
Hafeez Ur Rehman
Associate Professor of Computer Science at National University of Computer and Emerging Sciences
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An expanded evaluation of protein function prediction methods shows an improvement in accuracy
Y Jiang, TR Oron, WT Clark, AR Bankapur, D D’Andrea, R Lepore, ...
Genome biology 17 (1), 1-19, 2016
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ...
Genome biology 20 (1), 1-23, 2019
Thermophysical analysis for three-dimensional MHD stagnation-point flow of nano-material influenced by an exponential stretching surface
FU Rehman, S Nadeem, HU Rehman, RU Haq
Results in physics 8, 316-323, 2018
A combined approach for genome wide protein function annotation/prediction
A Benso, S Di Carlo, G Politano, A Savino, P Suravajhala
Proteome science 11 (1), 1-12, 2013
Beyond homology transfer: Deep learning for automated annotation of proteins
M Nauman, H Ur Rehman, G Politano, A Benso
Journal of Grid Computing 17, 225-237, 2019
Using Boolean networks to model post-transcriptional regulation in gene regulatory networks
G Politano, A Savino, A Benso, S Di Carlo, HU Rehman, A Vasciaveo
Journal of Computational Science 5 (3), 332-344, 2014
A three-way approach for protein function classification
H Ur Rehman, N Azam, JT Yao, A Benso
PloS one 12 (2), e0171702, 2017
Accounting for Post-Transcriptional Regulation in Boolean Networks Based Regulatory Models.
A Benso, S Di Carlo, HU Rehman, G Politano, A Savino, G Squillero, ...
IWBBIO, 397-404, 2013
Combining homolog and motif similarity data with Gene Ontology relationships for protein function prediction
HU Rehman, A Benso, S Di Carlo, G Politane, A Savino, P Suravajhala
2012 IEEE International Conference on Bioinformatics and Biomedicine, 1-4, 2012
Using gnome wide data for protein function prediction by exploiting gene ontology relationships
A Benso, S Di Carlo, G Politano, A Savino
Proceedings of 2012 IEEE International Conference on Automation, Quality and …, 2012
A comparative study of graphic symbol recognition methods
I Khan, N Islam, H Ur Rehman, M Khan
Multimedia Tools and Applications 79, 8695-8725, 2020
Thermal characterisation analysis and modelling techniques for CubeSat-sized spacecrafts
A Ali, K Ullah, HU Rehman, I Bari, LM Reyneri
The Aeronautical Journal 121 (1246), 1858-1878, 2017
Detecting N6-methyladenosine sites from RNA transcriptomes using random forest
A Khan, HU Rehman, U Habib, U Ijaz
Journal of Computational Science 47, 101238, 2020
Fog computing for bioinformatics applications
HU Rehman, A Khan, U Habib
Fog computing: Theory and practice, 529-546, 2020
A deep learning based approach for precise video tagging
S Ilyas, HU Rehman
2019 15th International Conference on Emerging Technologies (ICET), 1-6, 2019
Building gene expression profile classifiers with a simple and efficient rejection option in R
A Benso, S Di Carlo, G Politano, A Savino, H Hafeezurrehman
BMC bioinformatics 12 (13), 1-15, 2011
A Structure based Approach for Accurate Prediction of Protein Interactions Networks.
HU Rehman, U Zafar, A Benso, N Islam
BIOINFORMATICS, 237-244, 2016
Gradient compass-based adaptive Multimodal medical image fusion
MT Irshad, HU Rehman
IEEE Access 9, 22662-22670, 2021
Gene Ontology Capsule GAN: an improved architecture for protein function prediction
M Mansoor, M Nauman, HU Rehman, M Omar
PeerJ Computer Science 8, e1014, 2022
Gene Ontology GAN (GOGAN): a novel architecture for protein function prediction
M Mansoor, M Nauman, H Ur Rehman, A Benso
Soft Computing, 1-15, 2022
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