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Muhammad Arif 0012
Person information
- affiliation (PhD 2021): Nanjing University of Science and Technology, Department of computer science and technology, China
- affiliation: University of Management and Technology, Department of Informatics and Systems, School of Systems and Technology, Lahore, Pakistan
Other persons with the same name
- Muhammad Arif — disambiguation page
- Muhammad Arif 0001
— Abdul Wali Khan University Mardan, Department of Mathematics, Mardan, Pakistan
- Muhammad Arif 0002
- Muhammad Arif 0003
- Muhammad Arif 0004
- Muhammad Arif 0005 — University of Peshawar, Peshawar, Pakistan
- Muhammad Arif 0006
- Muhammad Arif 0007
- Muhammad Arif 0008
- Muhammad Arif 0009
- Muhammad Arif 0011
- Muhammad Arif 0014 — Instituto Politécnico Nacional, IPN, Centro de Investigación en Computación, CIC, Mexico
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2020 – today
- 2024
- [j10]Muhammad Arif
DPI_CDF: druggable protein identifier using cascade deep forest. BMC Bioinform. 25(1): 145 (2024) - [c2]Aya Nour
Differential Methylation Analysis in Normal Breast Tissue Contralateral to Tumour Reveals PROM1 As a Potential Prognostic Biomarker. ICMHI 2024: 158-163 - [c1]Hend Ghassan Eldous
In Silico Analysis of Pathogenic Missense Mutation in GBA protein for Gaucher Disease. ICMHI 2024: 175-180 - 2023
- [j9]Fatima Zulfiqar
Augmented Reality and its Applications in Education: A Systematic Survey. IEEE Access 11: 143250-143271 (2023) - [j8]Fang Ge, Chen Li
VPatho: a deep learning-based two-stage approach for accurate prediction of gain-of-function and loss-of-function variants. Briefings Bioinform. 24(1) (2023) - [j7]Rehan Raza
Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images. Eng. Appl. Artif. Intell. 126: 106902 (2023) - [j6]Jun Hu
Improving DNA-Binding Protein Prediction Using Three-Part Sequence-Order Feature Extraction and a Deep Neural Network Algorithm. J. Chem. Inf. Model. 63(3): 1044-1057 (2023) - [j5]Fang Ge, Muhammad Arif
MMPatho: Leveraging Multilevel Consensus and Evolutionary Information for Enhanced Missense Mutation Pathogenic Prediction. J. Chem. Inf. Model. 63(22): 7239-7257 (2023) - 2022
- [j4]Fang Ge, Ying Zhang
Prediction of disease-associated nsSNPs by integrating multi-scale ResNet models with deep feature fusion. Briefings Bioinform. 23(1) (2022) - [j3]Muhammad Arif, Muhammad Kabir, Saeed Ahmed, Abid Khan, Fang Ge, Adel Khelifi, Dong-Jun Yu:
DeepCPPred: A Deep Learning Framework for the Discrimination of Cell-Penetrating Peptides and Their Uptake Efficiencies. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2749-2759 (2022) - 2020
- [j2]Muhammad Arif
TargetCPP: accurate prediction of cell-penetrating peptides from optimized multi-scale features using gradient boost decision tree. J. Comput. Aided Mol. Des. 34(8): 841-856 (2020)
2010 – 2019
- 2018
- [j1]Saeed Ahmed, Muhammad Kabir, Muhammad Arif, Zakir Ali, Farman Ali, Zar Nawab Khan Swati:
Improving secretory proteins prediction in Mycobacterium tuberculosis using the unbiased dipeptide composition with support vector machine. Int. J. Data Min. Bioinform. 21(3): 212-229 (2018)
Coauthor Index
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