Farman Ali
Orcid: 0000-0002-0914-1577Affiliations:
- University of Science and Technology, Bannu, Pakistan
- Abdul Wali Khan University Mardan (AWKUM), Mardan, Pakistan (former)
According to our database1,
Farman Ali
authored at least 16 papers
between 2018 and 2023.
Collaborative distances:
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Bibliography
2023
AFP-SPTS: An Accurate Prediction of Antifreeze Proteins Using Sequential and Pseudo-Tri-Slicing Evolutionary Features with an Extremely Randomized Tree.
J. Chem. Inf. Model., February, 2023
Identifying Neuropeptides via Evolutionary and Sequential Based Multi-Perspective Descriptors by Incorporation With Ensemble Classification Strategy.
IEEE Access, 2023
Prediction of Amyloid Proteins Using Embedded Evolutionary & Ensemble Feature Selection Based Descriptors With eXtreme Gradient Boosting Model.
IEEE Access, 2023
2022
DBP-CNN: Deep learning-based prediction of DNA-binding proteins by coupling discrete cosine transform with two-dimensional convolutional neural network.
Expert Syst. Appl., 2022
Target-DBPPred: An intelligent model for prediction of DNA-binding proteins using discrete wavelet transform based compression and light eXtreme gradient boosting.
Comput. Biol. Medicine, 2022
Deep-GHBP: Improving prediction of Growth Hormone-binding proteins using deep learning model.
Biomed. Signal Process. Control., 2022
2021
DBP-GAPred: An intelligent method for prediction of DNA-binding proteins types by enhanced evolutionary profile features with ensemble learning.
J. Bioinform. Comput. Biol., 2021
piEnPred: a bi-layered discriminative model for enhancers and their subtypes via novel cascade multi-level subset feature selection algorithm.
Frontiers Comput. Sci., 2021
AFP-CMBPred: Computational identification of antifreeze proteins by extending consensus sequences into multi-blocks evolutionary information.
Comput. Biol. Medicine, 2021
iAtbP-Hyb-EnC: Prediction of antitubercular peptides via heterogeneous feature representation and genetic algorithm based ensemble learning model.
Comput. Biol. Medicine, 2021
A privacy-conserving framework based intrusion detection method for detecting and recognizing malicious behaviours in cyber-physical power networks.
Appl. Intell., 2021
2020
TargetCPP: accurate prediction of cell-penetrating peptides from optimized multi-scale features using gradient boost decision tree.
J. Comput. Aided Mol. Des., 2020
2019
DP-BINDER: machine learning model for prediction of DNA-binding proteins by fusing evolutionary and physicochemical information.
J. Comput. Aided Mol. Des., 2019
Comput. Medical Imaging Graph., 2019
IEEE Access, 2019
2018
Improving secretory proteins prediction in Mycobacterium tuberculosis using the unbiased dipeptide composition with support vector machine.
Int. J. Data Min. Bioinform., 2018