Hafeez Ur Rehman
Hafeez Ur Rehman
Associate Professor of Computer Science at National University of Computer and Emerging Sciences
Verified email at nu.edu.pk
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), 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, H ur Rehman, G Politano, A Savino, P Suravajhala
Proteome science 11 (1), 1-12, 2013
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
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
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
Beyond homology transfer: Deep learning for automated annotation of proteins
M Nauman, HU Rehman, G Politano, A Benso
Journal of Grid Computing 17 (2), 225-237, 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
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, 2017
A Structure based Approach for Accurate Prediction of Protein Interactions Networks.
HU Rehman, U Zafar, A Benso, N Islam
BIOINFORMATICS, 237-244, 2016
A comparative study of graphic symbol recognition methods
I Khan, N Islam, HU Rehman, M Khan
Multimedia Tools and Applications 79 (13), 8695-8725, 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
A Bayesian approach for estimating protein–protein interactions by integrating structural and non-structural biological data
HU Rehman, I Bari, A Ali, H Mahmood
Molecular BioSystems 13 (12), 2592-2602, 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
An agent-based simulation framework for complex systems
A Benso, S Di Carlo, G Politano, A Savino, H ur Rehman
Identification of Yeast’s Interactome Using Neural Networks
HU Rehman, U Habib, U Ijaz, N Islam, AUR Khan, R Nawaz
IEEE Access 7, 179634-179645, 2019
The system can't perform the operation now. Try again later.
Articles 1–20