Saeed Ahmed

发表

Improving secretory proteins prediction in Mycobacterium tuberculosis using the unbiased dipeptide composition with support vector machine

Muhammad Arif, Muhammad Kabir, Zar Nawab Khan Swati, 2018, Int. J. Data Min. Bioinform..

PredAoDP: Accurate identification of antioxidant proteins by fusing different descriptors based on evolutionary information with support vector machine

Muhammad Kabir, Y. Khan, Saeed Ahmed, 2022, Chemometrics and Intelligent Laboratory Systems.

AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning

Julian M. W. Quinn, P. Lio’, Phasit Charoenkwan, 2022, Scientific Reports.

DeepCPPred: A Deep Learning Framework for the Discrimination of Cell-Penetrating Peptides and Their Uptake Efficiencies

Dong-Jun Yu, Muhammad Kabir, Saeed Ahmed, 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

SDBP-Pred: Prediction of single-stranded and double-stranded DNA-binding proteins by extending consensus sequence and K-segmentation strategies into PSSM.

Muhammad Arif, Zaheer Ullah Khan, Muhammad Kabir, 2019, Analytical biochemistry.

iDTi-CSsmoteB: Identification of Drug–Target Interaction Based on Drug Chemical Structure and Protein Sequence Using XGBoost With Over-Sampling Technique SMOTE

Yongsheng Liu, Saeed Ahmed, Wenyu Chen, 2019, IEEE Access.

DeepPPSite: A deep learning-based model for analysis and prediction of phosphorylation sites using efficient sequence information.

Muhammad Arif, Zaheer Ullah Khan, Muhammad Kabir, 2020, Analytical biochemistry.

DP-BINDER: machine learning model for prediction of DNA-binding proteins by fusing evolutionary and physicochemical information

Farman Ali, Zar Nawab Khan Swati, Saeed Ahmed, 2019, J. Comput. Aided Mol. Des..

Brain tumor classification for MR images using transfer learning and fine-tuning

Qinghua Zhao, Jianfeng Lu, Muhammad Kabir, 2019, Comput. Medical Imaging Graph..

Content-Based Brain Tumor Retrieval for MR Images Using Transfer Learning

Jianfeng Lu, Qinghua Zhao, Saeed Ahmed, 2019, IEEE Access.

Prediction of human phosphorylated proteins by extracting multi-perspective discriminative features from the evolutionary profile and physicochemical properties through LFDA

Muhammad Arif, Muhammad Kabir, Zar Nawab Khan Swati, 2020 .

StackACPred: Prediction of anticancer peptides by integrating optimized multiple feature descriptors with stacked ensemble approach

Maha A. Thafar, Dong-Jun Yu, Muhammad Kabir, 2021, Chemometrics and Intelligent Laboratory Systems.

An Integrated Feature Selection Algorithm for Cancer Classification using Gene Expression Data.

Muhammad Kabir, Dong-Jun Yu, Saeed Ahmed, 2019, Combinatorial chemistry & high throughput screening.