Hafeez Ur Rehman
Hafeez Ur Rehman
Associate Professor of Computer Science at National University of Computer and Emerging Sciences
Verified email at
Cited by
Cited by
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, 1-19, 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, 1-23, 2019
Education and economic growth in Pakistan: A cointegration and causality analysis
M Afzal, HU Rehman, MS Farooq, K Sarwar
International Journal of Educational Research 50 (5-6), 321-335, 2011
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
Sequenced application of glutathione as an antioxidant with an organic biostimulant improves physiological and metabolic adaptation to salinity in wheat
H ur Rehman, HF Alharby, AA Bamagoos, MT Abdelhamid, MM Rady
Plant Physiology and Biochemistry 158, 43-52, 2021
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
COVID-19 pandemic and Pakistan economy: a preliminary survey
N Asghar, M Batool, F Farooq, H ur Rehman
Review of Economics and Development Studies 6 (2), 447-459, 2020
A combined approach for genome wide protein function annotation/prediction
A Benso, S Di Carlo, H ur Rehman, G Politano, A Savino, P Suravajhala
Proteome science 11, 1-12, 2013
A review on smart IoT based farming
H Farooq, HU Rehman, A Javed, M Shoukat, S Dudley
Annals of Emerging Technologies in Computing (AETiC), Print ISSN, 2516-0281, 2020
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
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
A deep learning based approach for precise video tagging
S Ilyas, HU Rehman
2019 15th International Conference on Emerging Technologies (ICET), 1-6, 2019
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
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
Gradient compass-based adaptive multimodal medical image fusion
MT Irshad, HU Rehman
IEEE Access 9, 22662-22670, 2021
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
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
Fog computing for bioinformatics applications
HU Rehman, A Khan, U Habib
Fog computing: Theory and practice, 529-546, 2020
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