Improving secretory proteins prediction in Mycobacterium tuberculosis using the unbiased dipeptide composition with support vector machine. - Saeed Ahmed; Muhammad Kabir; Muhammad Arif 012; Zakir Ali; Farman Ali 002; Zar Nawab Khan Swati (Int. J. Data Min. Bioinform., 2018)

Content-Based Brain Tumor Retrieval for MR Images Using Transfer Learning. - Zar Nawab Khan Swati; Qinghua Zhao; Muhammad Kabir; Farman Ali 002; Zakir Ali; Saeed Ahmed; Jianfeng Lu 003 (IEEE Access, 2019)

Brain tumor classification for MR images using transfer learning and fine-tuning. - Zar Nawab Khan Swati; Qinghua Zhao; Muhammad Kabir; Farman Ali 002; Zakir Ali; Saeed Ahmed; Jianfeng Lu 003 (Comput. Medical Imaging Graph., 2019)

DP-BINDER: machine learning model for prediction of DNA-binding proteins by fusing evolutionary and physicochemical information. - Farman Ali 002; Saeed Ahmed; Zar Nawab Khan Swati; Shahid Akbar (J. Comput. Aided Mol. Des., 2019)

TargetCPP: accurate prediction of cell-penetrating peptides from optimized multi-scale features using gradient boost decision tree. - Muhammad Arif 012; Saeed Ahmad; Farman Ali 002; Ge Fang; Min Li 009; Dong-Jun Yu (J. Comput. Aided Mol. Des., 2020)

A privacy-conserving framework based intrusion detection method for detecting and recognizing malicious behaviours in cyber-physical power networks. - Izhar Ahmed Khan; Dechang Pi; Nasrullah Khan; Zaheer Ullah Khan; Yasir Hussain; Asif Nawaz; Farman Ali 002 (Appl. Intell., 2021)

iAtbP-Hyb-EnC: Prediction of antitubercular peptides via heterogeneous feature representation and genetic algorithm based ensemble learning model. - Shahid Akbar; Ashfaq Ahmad; Maqsood Hayat; Ateeq Ur Rehman 001; Salman Khan 005; Farman Ali 002 (Comput. Biol. Medicine, 2021)

AFP-CMBPred: Computational identification of antifreeze proteins by extending consensus sequences into multi-blocks evolutionary information. - Farman Ali 002; Shahid Akbar; Ali Ghulam; Zulfikar Ahmed Maher; Ahsanullah Unar; Dhani Bux Talpur (Comput. Biol. Medicine, 2021)

piEnPred: a bi-layered discriminative model for enhancers and their subtypes via novel cascade multi-level subset feature selection algorithm. - Zaheer Ullah Khan; Dechang Pi; Shuanglong Yao; Asif Nawaz; Farman Ali 002; Shaukat Ali 002 (Frontiers Comput. Sci., 2021)

DBP-GAPred: An intelligent method for prediction of DNA-binding proteins types by enhanced evolutionary profile features with ensemble learning. - Omar Barukab; Farman Ali 002; Sher Afzal Khan (J. Bioinform. Comput. Biol., 2021)

Deep-GHBP: Improving prediction of Growth Hormone-binding proteins using deep learning model. - Farman Ali 002; Harish Kumar; Shruti Patil; Ashfaq Ahmad; Amal Babour; Ali Daud (Biomed. Signal Process. Control., 2022)

Target-DBPPred: An intelligent model for prediction of DNA-binding proteins using discrete wavelet transform based compression and light eXtreme gradient boosting. - Farman Ali 002; Harish Kumar; Shruti Patil; Ketan Kotecha; Ameen Banjar; Ali Daud (Comput. Biol. Medicine, 2022)

DBP-CNN: Deep learning-based prediction of DNA-binding proteins by coupling discrete cosine transform with two-dimensional convolutional neural network. - Omar Barukab; Farman Ali 002; Wajdi Alghamdi; Yoosef Bassam; Sher Afzal Khan (Expert Syst. Appl., 2022)

Prediction of Amyloid Proteins Using Embedded Evolutionary & Ensemble Feature Selection Based Descriptors With eXtreme Gradient Boosting Model. - Shahid Akbar; Hashim Ali 001; Ashfaq Ahmad; Mahidur R. Sarker; Aamir Saeed; Ely Salwana 001; Sarah Gul; Ahmad Khan; Farman Ali 002 (IEEE Access, 2023)

Identifying Neuropeptides via Evolutionary and Sequential Based Multi-Perspective Descriptors by Incorporation With Ensemble Classification Strategy. - Shahid Akbar; Heba G. Mohamed; Hashim Ali 001; Aamir Saeed; Aftab Ahmed Khan; Sarah Gul; Ashfaq Ahmad; Farman Ali 002; Yazeed Yasin Ghadi; Muhammad Assam (IEEE Access, 2023)

AFP-SPTS: An Accurate Prediction of Antifreeze Proteins Using Sequential and Pseudo-Tri-Slicing Evolutionary Features with an Extremely Randomized Tree. - Adnan Khan; Jamal Uddin; Farman Ali 002; Harish Kumar; Wajdi Alghamdi; Aftab Ahmad (J. Chem. Inf. Model., 2023)

IP-GCN: A deep learning model for prediction of insulin using graph convolutional network for diabetes drug design. - Farman Ali 002; Majdi Khalid; Abdullah Almuhaimeed; Atef Masmoudi; Wajdi Alghamdi; Ayman Yafoz (J. Comput. Sci., 2024)

VEGF-ERCNN: A deep learning-based model for prediction of vascular endothelial growth factor using ensemble residual CNN. - Farman Ali 002; Majdi Khalid; Atef Masmoudi; Wajdi Alghamdi; Ayman Yafoz; Raed Alsini (J. Comput. Sci., 2024)

Leveraging deep learning for epigenetic protein prediction: a novel approach for early lung cancer diagnosis and drug discovery. - Farman Ali 002; Abdullah Almuhaimeed; Wajdi Alghamdi; Haya Aldossary; Othman Asiry; Atef Masmoudi (Health Inf. Sci. Syst., 2025)