Malik Yousef

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 39

Top Topics

Classification Accuracy

Colorectal Cancer

Gene Expression

Machine Learning

Top Venues

J. Integr. Bioinform.

Publications

Nur Sebnem Ersoz, Cihan Kuzudisli, Malik Yousef, Burcu Bakir-Gungor
Metagenomic Data Analysis with Machine Learning to Discover Colorectal Cancer-Associated Enzymes. SIU (2024)
Mustafa Temiz, Cihan Kuzudisli, Malik Yousef, Burcu Bakir-Gungor
Prediction of Type 2 Diabetes using Metagenomic Data and Identification of Taxonomic Biomarkers. SIU (2024)
Emma Qumsiyeh, Miar Yousef, Malik Yousef
ReScore Disease Groups Based on Multiple Machine Learnings Utilizing the Grouping-Scoring-Modeling Approach. BIOSTEC (1) (2024)
Daniel Voskergian, Burcu Bakir-Gungor, Malik Yousef
SEMANT - Feature Group Selection Utilizing FastText-Based Semantic Word Grouping, Scoring, and Modeling Approach for Text Classification. DEXA (2) (2024)
Emma Qumsiyeh, Burcu Bakir-Gungor, Malik Yousef
Classification of Breast Cancer Molecular Subtypes with Grouping-Scoring-Modeling Approach that Incorporates Disease-Disease Association Information. SIU (2024)
Miray Unlu Yazici, Malik Yousef, J. S. Marron, Burcu Bakir-Gungor
miRcorrNetPro: Unraveling Algorithmic Insights through Cross-Validation in Multi-Omics Integration for Comprehensive Data Analysis. BIBM (2023)
Malik Yousef, Fatma Ozdemir, Amhar Jaber, Jens Allmer, Burcu Bakir-Gungor
PriPath: identifying dysregulated pathways from differential gene expression via grouping, scoring, and modeling with an embedded feature selection approach. BMC Bioinform. 24 (1) (2023)
Emma Qumsiyeh, Malik Yousef, Zaidoun Salah, Rashid Jayousi
Detecting Semantic Similarity of Diseases based Machine Learning. BIBM (2023)
Ümmü Gülsüm Söylemez, Malik Yousef, Burcu Bakir-Gungor
Prediction of Antimicrobial Peptides Using Deep Neural Networks. BIOINFORMATICS (2023)
Emma Qumsiyeh, Miray Unlu Yazici, Malik Yousef
GediNETPro: Discovering Patterns of Disease Groups. BIOINFORMATICS (2023)
Malik Yousef, Louise C. Showe, Izhar Ben Shlomo
Clinical presentation of COVID-19 - a model derived by a machine learning algorithm. J. Integr. Bioinform. 18 (1) (2021)
Malik Yousef, Jamal Al Qundus, Silvio Peikert, Adrian Paschke
TopicsRanksDC: Distance-based Topic Ranking applied on Two-Class Data. CoRR (2021)
Malik Yousef, Amhar Jabeer, Burcu Bakir-Gungor
SVM-RCE-R-OPT: Optimization of Scoring Function for SVM-RCE-R. DEXA Workshops (2021)
Malik Yousef, Ege Ülgen, Osman Ugur Sezerman
CogNet: classification of gene expression data based on ranked active-subnetwork-oriented KEGG pathway enrichment analysis. PeerJ Comput. Sci. 7 (2021)
Malik Yousef, Ahmet Sayici, Burcu Bakir-Gungor
Integrating Gene Ontology Based Grouping and Ranking into the Machine Learning Algorithm for Gene Expression Data Analysis. DEXA Workshops (2021)
Malik Yousef, Jens Allmer
Classification of Precursor MicroRNAs from Different Species Based on K-mer Distance Features. Algorithms 14 (5) (2021)
Rohit Satyam, Malik Yousef, Sahar Qazi, Adil Manzoor Bhat, Khalid Raza
COVIDium: a COVID-19 resource compendium. Database J. Biol. Databases Curation 2021 (2021)
Malik Yousef, Abhishek Kumar, Burcu Bakir-Gungor
Application of Biological Domain Knowledge Based Feature Selection on Gene Expression Data. Entropy 23 (1) (2021)
Loai AbedAllah, Murad Badarna, Waleed Khalifa, Malik Yousef
MultiKOC: Multi-One-Class Classifier Based K-Means Clustering. Algorithms 14 (5) (2021)
Anusha Uttarilli, Sridhar Amalakanti, Phaneeswara-Rao Kommoju, Srihari Sharma, Pankaj Goyal, Gowrang Kasaba Manjunath, Vineet Upadhayay, Alisha Parveen, Ravi Tandon, Kumar Suranjit Prasad, Tikam Chand Dakal, Izhar Ben Shlomo, Malik Yousef, Muniasamy Neerathilingam, Abhishek Kumar
Super-rapid race for saving lives by developing COVID-19 vaccines. J. Integr. Bioinform. 18 (1) (2021)
Loai AbedAllah, Malik Yousef
GrpClassifierEC: a novel classification approach based on the ensemble clustering space. Algorithms Mol. Biol. 15 (1) (2020)
Jamal Al Qundus, Adrian Paschke, Shivam Gupta, Ahmad M. Alzouby, Malik Yousef
Exploring the impact of short-text complexity and structure on its quality in social media. J. Enterp. Inf. Manag. 33 (6) (2020)
Malik Yousef, Burcu Bakir-Gungor, Amhar Jabeer, Gokhan Goy, Rehman Qureshi, Louise C. Showe
Recursive Cluster Elimination based Rank Function (SVM-RCE-R) implemented in KNIME. F1000Research 9 (2020)
Malik Yousef, Jamal Al Qundus, Silvio Peikert, Adrian Paschke
TopicsRanksDC: Distance-Based Topic Ranking Applied on Two-Class Data. DEXA Workshops (2020)
Luise Odenthal, Jens Allmer, Malik Yousef
A Machine Learning-based Approach for the Categorization of MicroRNAs to Their Species of Origin. BIOINFORMATICS (2020)
Loai AbedAllah, Murad Badarna, Waleed Khalifa, Malik Yousef
K - Means Based One-Class SVM Classifier. DEXA Workshops (2019)
Malik Yousef, Walid Khaleifa, Tugba Onal Suzek
In Silico Validation of ncRNA-ncRNA Interaction Sites with ncRNAs Represented by k-mers Features. BIOINFORMATICS (2019)
Malik Yousef, Jens Allmer
Classification of Pre-cursor microRNAs from Different Species Using a New Set of Features. DEXA Workshops (2019)
Malik Yousef, Loai AbdAllah, Jens Allmer
maTE: discovering expressed interactions between microRNAs and their targets. Bioinform. 35 (20) (2019)
Loai AbedAllah, Malik Yousef
Ensemble Clustering Based Dimensional Reduction. DEXA Workshops (2018)
Malik Yousef, Dalit Levy, Jens Allmer
Species Categorization via MicroRNAs - Based on 3'UTR Target Sites using Sequence Features. BIOINFORMATICS (2018)
Malik Yousef, Dawit Nigatu, Dalit Levy, Jens Allmer, Werner Henkel
-mers. EURASIP J. Adv. Signal Process. 2017 (2017)
Malik Yousef, Waleed Khalifa, Ilhan Erkin Acar, Jens Allmer
Distinguishing between MicroRNA Targets from Diverse Species using Sequence Motifs and K-mers. BIOINFORMATICS (2017)
Malik Yousef, Waleed Khalifa, Ilhan Erkin Acar, Jens Allmer
MicroRNA categorization using sequence motifs and k-mers. BMC Bioinform. 18 (1) (2017)
Dawit Nigatu, Patrick Sobetzko, Malik Yousef, Werner Henkel
Sequence-based information-theoretic features for gene essentiality prediction. BMC Bioinform. 18 (1) (2017)
Malik Yousef, Waleed Khalifa, Loai AbdAllah
Ensemble Clustering Classification compete SVM and One-Class classifiers applied on plant microRNAs Data. J. Integr. Bioinform. 13 (5) (2016)
Malik Yousef, Jens Allmer, Waleed Khalifa
Feature Selection for MicroRNA Target Prediction - Comparison of One-Class Feature Selection Methodologies. BIOINFORMATICS (2016)
Malik Yousef, Muserref Duygu Saçar, Waleed Khalifa, Jens Allmer
Feature Selection Has a Large Impact on One-Class Classification Accuracy for MicroRNAs in Plants. Adv. Bioinformatics 2016 (2016)
Jens Allmer, Malik Yousef
Editorial: Computational miRNomics. J. Integr. Bioinform. 13 (5) (2016)
Malik Yousef, Mohamed Ketany, Larry M. Manevitz, Louise C. Showe, Michael K. Showe
Classification and biomarker identification using gene network modules and support vector machines. BMC Bioinform. 10 (2009)
Malik Yousef, Segun Jung, Louise C. Showe, Michael K. Showe
Learning from positive examples when the negative class is undetermined- microRNA gene identification. Algorithms Mol. Biol. 3 (2008)
Malik Yousef, Segun Jung, Louise C. Showe, Michael K. Showe
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data. BMC Bioinform. 8 (2007)
Larry M. Manevitz, Malik Yousef
One-class document classification via Neural Networks. Neurocomputing 70 (7-9) (2007)
Jiajing Wang, Huai Li, Yitan Zhu, Malik Yousef, Michael Nebozhyn, Michael M. Showe, Louise C. Showe, Jianhua Xuan, Robert Clarke, Yue Joseph Wang
analytical tool for data clustering and beyond. Bioinform. 23 (15) (2007)
Malik Yousef, Segun Jung, Andrew V. Kossenkov, Louise C. Showe, Michael K. Showe
Naïve Bayes for microRNA target predictions - machine learning for microRNA targets. Bioinform. 23 (22) (2007)
Malik Yousef, Michael Nebozhyn, Hagit Shatkay, Stathis Kanterakis, Louise C. Showe, Michael K. Showe
Combining multi-species genomic data for microRNA identification using a Naïve Bayes classifier. Bioinform. 22 (11) (2006)
Larry M. Manevitz, Malik Yousef
A web navigation system based on a neural network user-model trained with only positive web documents. Web Intell. Agent Syst. 2 (2) (2004)
Larry M. Manevitz, Malik Yousef
One-Class SVMs for Document Classification. J. Mach. Learn. Res. 2 (2001)
Larry M. Manevitz, Malik Yousef
Document classification on neural networks using only positive examples. SIGIR (2000)