Malik Yousef
Orcid: 0000-0001-8780-6303
According to our database1,
Malik Yousef
authored at least 50 papers
between 2000 and 2024.
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Bibliography
2024
CCPred: Global and population-specific colorectal cancer prediction and metagenomic biomarker identification at different molecular levels using machine learning techniques.
Comput. Biol. Medicine, 2024
Prediction of Type 2 Diabetes using Metagenomic Data and Identification of Taxonomic Biomarkers.
Proceedings of the 32nd Signal Processing and Communications Applications Conference, 2024
Classification of Breast Cancer Molecular Subtypes with Grouping-Scoring-Modeling Approach that Incorporates Disease-Disease Association Information.
Proceedings of the 32nd Signal Processing and Communications Applications Conference, 2024
Metagenomic Data Analysis with Machine Learning to Discover Colorectal Cancer-Associated Enzymes.
Proceedings of the 32nd Signal Processing and Communications Applications Conference, 2024
TextNetTopics-SFTS-SBTS: TextNetTopics Scoring Approaches Based Sequential Forward and Backward.
Proceedings of the Bioinformatics and Biomedical Engineering, 2024
SEMANT - Feature Group Selection Utilizing FastText-Based Semantic Word Grouping, Scoring, and Modeling Approach for Text Classification.
Proceedings of the Database and Expert Systems Applications, 2024
ReScore Disease Groups Based on Multiple Machine Learnings Utilizing the Grouping-Scoring-Modeling Approach.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024
2023
PriPath: identifying dysregulated pathways from differential gene expression via grouping, scoring, and modeling with an embedded feature selection approach.
BMC Bioinform., December, 2023
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023
miRcorrNetPro: Unraveling Algorithmic Insights through Cross-Validation in Multi-Omics Integration for Comprehensive Data Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2021
CogNet: classification of gene expression data based on ranked active-subnetwork-oriented KEGG pathway enrichment analysis.
PeerJ Comput. Sci., 2021
J. Integr. Bioinform., 2021
J. Integr. Bioinform., 2021
Application of Biological Domain Knowledge Based Feature Selection on Gene Expression Data.
Entropy, 2021
Classification of Precursor MicroRNAs from Different Species Based on K-mer Distance Features.
Algorithms, 2021
Integrating Gene Ontology Based Grouping and Ranking into the Machine Learning Algorithm for Gene Expression Data Analysis.
Proceedings of the Database and Expert Systems Applications - DEXA 2021 Workshops, 2021
Proceedings of the Database and Expert Systems Applications - DEXA 2021 Workshops, 2021
2020
Exploring the impact of short-text complexity and structure on its quality in social media.
J. Enterp. Inf. Manag., 2020
F1000Research, 2020
GrpClassifierEC: a novel classification approach based on the ensemble clustering space.
Algorithms Mol. Biol., 2020
Proceedings of the Database and Expert Systems Applications, 2020
A Machine Learning-based Approach for the Categorization of MicroRNAs to Their Species of Origin.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020
2019
Bioinform., 2019
Classification of Pre-cursor microRNAs from Different Species Using a New Set of Features.
Proceedings of the Database and Expert Systems Applications, 2019
Proceedings of the Database and Expert Systems Applications, 2019
In Silico Validation of ncRNA-ncRNA Interaction Sites with ncRNAs Represented by k-mers Features.
Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019
2018
Proceedings of the Database and Expert Systems Applications, 2018
Species Categorization via MicroRNAs - Based on 3'UTR Target Sites using Sequence Features.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018
2017
Categorization of species based on their microRNAs employing sequence motifs, information-theoretic sequence feature extraction, and <i>k</i>-mers.
EURASIP J. Adv. Signal Process., 2017
BMC Bioinform., 2017
Distinguishing between MicroRNA Targets from Diverse Species using Sequence Motifs and K-mers.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017
2016
Ensemble Clustering Classification compete SVM and One-Class classifiers applied on plant microRNAs Data.
J. Integr. Bioinform., 2016
Feature Selection Has a Large Impact on One-Class Classification Accuracy for MicroRNAs in Plants.
Adv. Bioinformatics, 2016
Feature Selection for MicroRNA Target Prediction - Comparison of One-Class Feature Selection Methodologies.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016
2009
Classification and biomarker identification using gene network modules and support vector machines.
BMC Bioinform., 2009
2008
Learning from positive examples when the negative class is undetermined- microRNA gene identification.
Algorithms Mol. Biol., 2008
2007
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data.
BMC Bioinform., 2007
Bioinform., 2007
VISDA: an open-source caBIG<sup>TM</sup> analytical tool for data clustering and beyond.
Bioinform., 2007
2006
Combining multi-species genomic data for microRNA identification using a Naïve Bayes classifier.
Bioinform., 2006
2004
A web navigation system based on a neural network user-model trained with only positive web documents.
Web Intell. Agent Syst., 2004
2001
2000
Proceedings of the SIGIR 2000: Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2000