Maqsood Hayat
Orcid: 0000-0001-5456-2664
According to our database1,
Maqsood Hayat
authored at least 23 papers
between 2011 and 2024.
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Bibliography
2024
An effective machine learning-based model for the prediction of protein-protein interaction sites in health systems.
Neural Comput. Appl., January, 2024
Unveiling the Potential Pattern Representation of RNA 5-Methyluridine Modification Sites Through a Novel Feature Fusion Model Leveraging Convolutional Neural Network and Tetranucleotide Composition.
IEEE Access, 2024
2023
A Novel Predictor for the Analysis and Prediction of Enhancers and Their Strength via Multi-View Features and Deep Forest.
Inf., 2023
2022
Target-AMP: Computational prediction of antimicrobial peptides by coupling sequential information with evolutionary profile.
Comput. Biol. Medicine, 2022
NLP-BCH-Ens: NLP-based intelligent computational model for discrimination of malaria parasite.
Comput. Biol. Medicine, 2022
cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model.
Artif. Intell. Medicine, 2022
2021
iAtbP-Hyb-EnC: Prediction of antitubercular peptides via heterogeneous feature representation and genetic algorithm based ensemble learning model.
Comput. Biol. Medicine, 2021
Prediction of Piwi-Interacting RNAs and Their Functions via Convolutional Neural Network.
IEEE Access, 2021
2020
Prediction of N6-methyladenosine sites using convolution neural network model based on distributed feature representations.
Neural Networks, 2020
iRNA-PseTNC: identification of RNA 5-methylcytosine sites using hybrid vector space of pseudo nucleotide composition.
Frontiers Comput. Sci., 2020
Application of machine learning and data mining in predicting the performance of intermediate and secondary education level student.
Educ. Inf. Technol., 2020
cACP-2LFS: Classification of Anticancer Peptides Using Sequential Discriminative Model of KSAAP and Two-Level Feature Selection Approach.
IEEE Access, 2020
2017
Sequence based predictor for discrimination of enhancer and their types by applying general form of Chou's trinucleotide composition.
Comput. Methods Programs Biomed., 2017
Machine learning based identification of protein-protein interactions using derived features of physiochemical properties and evolutionary profiles.
Artif. Intell. Medicine, 2017
iACP-GAEnsC: Evolutionary genetic algorithm based ensemble classification of anticancer peptides by utilizing hybrid feature space.
Artif. Intell. Medicine, 2017
Intelligent computational model for classification of sub-Golgi protein using oversampling and fisher feature selection methods.
Artif. Intell. Medicine, 2017
2016
Identification of DNA binding proteins using evolutionary profiles position specific scoring matrix.
Neurocomputing, 2016
"iSS-Hyb-mRMR": Identification of splicing sites using hybrid space of pseudo trinucleotide and pseudo tetranucleotide composition.
Comput. Methods Programs Biomed., 2016
2015
Identification of Heat Shock Protein families and J-protein types by incorporating Dipeptide Composition into Chou's general PseAAC.
Comput. Methods Programs Biomed., 2015
iTIS-PseKNC: Identification of Translation Initiation Site in human genes using pseudo k-tuple nucleotides composition.
Comput. Biol. Medicine, 2015
2014
Discriminating protein structure classes by incorporating Pseudo Average Chemical Shift to Chou's general PseAAC and Support Vector Machine.
Comput. Methods Programs Biomed., 2014
2012
Prediction of membrane protein types by using dipeptide and pseudo amino acid composition-based composite features.
IET Commun., 2012
2011
CE-PLoc: An ensemble classifier for predicting protein subcellular locations by fusing different modes of pseudo amino acid composition.
Comput. Biol. Chem., 2011