Muhammad Kabir

发表

Pred-BVP-Unb: Fast prediction of bacteriophage Virion proteins using un-biased multi-perspective properties with recursive feature elimination.

Muhammad Arif, Maqsood Hayat, Farman Ali, 2020, Genomics.

iRSpot-GAEnsC: identifing recombination spots via ensemble classifier and extending the concept of Chou’s PseAAC to formulate DNA samples

Maqsood Hayat, Muhammad Kabir, 2015, Molecular Genetics and Genomics.

iNR-2L: A two-level sequence-based predictor developed via Chou's 5-steps rule and general PseAAC for identifying nuclear receptors and their families.

Muhammad Kabir, Maqsood Hayat, Maqsood Hayat, 2019, Genomics.

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.

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.

Sequence based predictor for discrimination of enhancer and their types by applying general form of Chou's trinucleotide composition

Muhammad Tahir, Muhammad Kabir, Maqsood Hayat, 2017, Comput. Methods Programs Biomed..

Identification of DNA binding proteins using evolutionary profiles position specific scoring matrix

Khurshid Ahmad, Muhammad Kabir, Maqsood Hayat, 2016, Neurocomputing.

iTIS-PseKNC: Identification of Translation Initiation Site in human genes using pseudo k-tuple nucleotides composition

Saeed Ahmad, Muhammad Iqbal, Muhammad Kabir, 2015, Comput. Biol. Medicine.

Identification of Heat Shock Protein families and J-protein types by incorporating Dipeptide Composition into Chou's general PseAAC

Saeed Ahmad, Muhammad Kabir, Maqsood Hayat, 2015, Comput. Methods Programs Biomed..

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.

Predicting DNase I hypersensitive sites via un-biased pseudo trinucleotide composition

Muhammad Kabir, Dong-Jun Yu, Dong-Jun Yu, 2017 .

iRSpot-GAEnsC: identifing recombination spots via ensemble classifier and extending the concept of Chou’s PseAAC to formulate DNA samples

Maqsood Hayat, Muhammad Kabir, 2016, Molecular Genetics and Genomics.

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.

iAFP-gap-SMOTE: An Efficient Feature Extraction Scheme Gapped Dipeptide Composition is Coupled with an Oversampling Technique for Identification of Antifreeze Proteins

Muhammad Kabir, Maqsood Hayat, Shahid Akbar, 2019, Letters in Organic Chemistry.

Prediction of membrane protein types by exploring local discriminative information from evolutionary profiles.

Muhammad Arif, Saeed Ahmad, Muhammad Kabir, 2019, Analytical biochemistry.

DBPPred-PDSD: Machine learning approach for prediction of DNA-binding proteins using Discrete Wavelet Transform and optimized integrated features space

Zaheer Ullah Khan, Farman Ali, Zar Nawab Khan Swati, 2018, Chemometrics and Intelligent Laboratory Systems.

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.

Large-scale comparative review and assessment of computational methods for phage virion proteins identification

Phasit Charoenkwan, C. Nantasenamat, W. Shoombuatong, 2022, EXCLI journal.

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.

Improving prediction of extracellular matrix proteins using evolutionary information via a grey system model and asymmetric under-sampling technique

Saeed Ahmad, Zar Nawab Khan Swati, Zi Liu, 2018 .

Identification of DNA binding proteins using evolutionary profiles position specific scoring matrix

K. Ahmad, Maqsood Hayat, Muhammad Kabir, 2016 .

Identification of DNA binding proteins using evolutionary profiles position specific scoring matrix

K. Ahmad, Maqsood Hayat, Muhammad Kabir, 2016, Neurocomputing.

Intelligent computational method for discrimination of anticancer peptides by incorporating sequential and evolutionary profiles information

Saeed Ahmad, Zar Nawab Khan Swati, Zakir Ali, 2018, Chemometrics and Intelligent Laboratory Systems.

A stacking-based approach for accurate prediction of antidiabetic peptides.

Muhammad Kabir, Farwa Arshad, Saeed Ahmed, 2024, Analytical biochemistry.

A novel stacking-based predictor for accurate prediction of antimicrobial peptides.

Muhammad Kabir, Saeed Ahmed, Sameera Kanwal, 2024, Journal of biomolecular structure & dynamics.

A Novel Predictor for the Analysis and Prediction of Enhancers and Their Strength via Multi-View Features and Deep Forest

Maqsood Hayat, Muhammad Kabir, Mehwish Gill, 2023, Inf..

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.

A novel deep learning identifier for promoters and their strength using heterogeneous features.

Muhammad Kabir, Tanvir Alam, Muhammad Arif, 2024, Methods.