Malik Yousef

发表

Ensemble Clustering Based Dimensional Reduction

Loai AbedAllah, Malik Yousef, M. Yousef, 2018, DEXA Workshops.

Finite–Element Mesh Generation Using Self–Organizing Neural Networks

Dan Givoli, Malik Yousef, Larry M. Manevitz, 1997 .

A Machine Learning-based Approach for the Categorization of MicroRNAs to Their Species of Origin

Malik Yousef, Luise Odenthal, Jens Allmer, 2020, BIOINFORMATICS.

Feature Selection for MicroRNA Target Prediction - Comparison of One-Class Feature Selection Methodologies

Jens Allmer, Malik Yousef, Waleed Khalifa, 2016, BIOINFORMATICS.

Exploring the impact of short-text complexity and structure on its quality in social media

Shivam Gupta, Malik Yousef, Jamal Al Qundus, 2020, J. Enterp. Inf. Manag..

Classification of Pre-cursor microRNAs from Different Species Using a New Set of Features

Malik Yousef, Jens Allmer, M. Yousef, 2019, DEXA Workshops.

K - Means Based One-Class SVM Classifier

Murad Badarna, Loai AbedAllah, Malik Yousef, 2019, DEXA Workshops.

Distinguishing between MicroRNA Targets from Diverse Species using Sequence Motifs and K-mers

Jens Allmer, Malik Yousef, Waleed Khalifa, 2017, BIOINFORMATICS.

A web navigation system based on a neural network user-model trained with only positive web documents

Malik Yousef, Larry M. Manevitz, 2004, Web Intell. Agent Syst..

maTE: Discovering Expressed MicroRNA - Target Interactions.

Jens Allmer, Malik Yousef, Loai Abddallah, 2019, Bioinformatics.

Feature Selection Has a Large Impact on One-Class Classification Accuracy for MicroRNAs in Plants

Jens Allmer, Malik Yousef, Waleed Khalifa, 2016, Adv. Bioinformatics.

VISDA: an open-source caBIGTM analytical tool for data clustering and beyond

Robert Clarke, Huai Li, Louise C. Showe, 2007, Bioinform..

Learning from positive examples when the negative class is undetermined- microRNA gene identification

Louise C. Showe, Malik Yousef, Michael K. Showe, 2008, Algorithms for Molecular Biology.

Naïve Bayes for microRNA target predictions - machine learning for microRNA targets

Louise C. Showe, Malik Yousef, Andrew V. Kossenkov, 2007, Bioinform..

One-class document classification via Neural Networks

Malik Yousef, Larry M. Manevitz, L. Manevitz, 2007, Neurocomputing.

Editorial: Computational miRNomics

Jens Allmer, Malik Yousef, M. Yousef, 2016, Journal of Integrative Bioinformatics.

maTE: discovering expressed interactions between microRNAs and their targets

Loai AbedAllah, Malik Yousef, Jens Allmer, 2019, Bioinform..

Automatic Categorization of PubMed microRNA Target Abstracts Based on Text Classification Techniques

Malik Yousef, Dawit Nigatu, Loai Abdalla, 2017 .

In Silico Validation of ncRNA-ncRNA Interaction Sites with ncRNAs Represented by k-mers Features

Tugba O. Suzek, Malik Yousef, Walid Khaleifa, 2019, BIOINFORMATICS.

One-Class SVMs for Document Classification

Malik Yousef, Larry M. Manevitz, L. Manevitz, 2002, J. Mach. Learn. Res..

Application of Biological Domain Knowledge Based Feature Selection on Gene Expression Data

Abhishek Kumar, Malik Yousef, Burcu Bakir-Gungor, 2020, Entropy.

Bioinformatics Original Paper Combining Multi-species Genomic Data for Microrna Identification Using a Naı¨ve Bayes Classifier

Louise C. Showe, Hagit Shatkay, Stathis Kanterakis, 2022 .

Ensemble Clustering Classification compete SVM and One-Class classifiers applied on plant microRNAs Data

Malik Yousef, Loai AbedAllah, Waleed Khalifa, 2016, J. Integr. Bioinform..

Document classification on neural networks using only positive examples (poster session)

Malik Yousef, Larry M. Manevitz, 2000, SIGIR '00.

Classification and biomarker identification using gene network modules and support vector machines

Louise C. Showe, Malik Yousef, Larry M. Manevitz, 2009, BMC Bioinformatics.

GrpClassifierEC: a novel classification approach based on the ensemble clustering space

Malik Yousef, Loai Abdallah, M. Yousef, 2020, Algorithms for Molecular Biology.

One-class Document Classification: One-class Document Classification via Neural Networks and Support Vector Machines

Malik Yousef, 2009 .

TopicsRanksDC: Distance-Based Topic Ranking Applied on Two-Class Data

Adrian Paschke, Malik Yousef, Jamal Al Qundus, 2020, DEXA Workshops.

Species Categorization via MicroRNAs - Based on 3'UTR Target Sites using Sequence Features

Dalit Levy, Jens Allmer, Malik Yousef, 2018, BIOINFORMATICS.

Recursive Cluster Elimination based Rank Function (SVM-RCE-R) implemented in KNIME

Louise C. Showe, Rehman Qureshi, Malik Yousef, 2020, F1000Research.

A comparison study between one-class and two-class machine learning for MicroRNA target detection

Malik Yousef, Naim Najami, Waleed Khalifav, 2010 .

Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data

Louise C. Showe, Malik Yousef, Michael K. Showe, 2007, BMC Bioinformatics.

MicroRNA categorization using sequence motifs and k-mers

Jens Allmer, Malik Yousef, Waleed Khalifa, 2017, BMC Bioinformatics.

Categorization of species based on their microRNAs employing sequence motifs, information-theoretic sequence feature extraction, and k-mers

Werner Henkel, Dalit Levy, Jens Allmer, 2017, EURASIP J. Adv. Signal Process..

Classification of Precursor MicroRNAs from Different Species Based on K-mer Distance Features

Jens Allmer, Malik Yousef, M. Yousef, 2021, Algorithms.

MultiKOC: Multi-One-Class Classifier Based K-Means Clustering

Murad Badarna, Malik Yousef, Loai AbedAllah, 2021, Algorithms.

CogNet: classification of gene expression data based on ranked active-subnetwork-oriented KEGG pathway enrichment analysis

Osman Ugur Sezerman, Malik Yousef, Ege Ülgen, 2021, PeerJ Comput. Sci..

Application of Biological Domain Knowledge Based Feature Selection on Gene Expression Data

Abhishek Kumar, Malik Yousef, Burcu Bakir-Gungor, 2021, Entropy.

SVM-RCE-R-OPT: Optimization of Scoring Function for SVM-RCE-R

Malik Yousef, Burcu Bakir-Gungor, Amhar Jabeer, 2021, DEXA Workshops.

Integrating Gene Ontology Based Grouping and Ranking into the Machine Learning Algorithm for Gene Expression Data Analysis

Malik Yousef, Burcu Bakir-Gungor, Ahmet Sayici, 2021, DEXA Workshops.

Computational Prediction of Functional MicroRNA-mRNA Interactions.

Jens Allmer, Malik Yousef, Müşerref Duygu Saçar Demirci, 2019, Methods in molecular biology.

Computational methods for microRNA target prediction.

Jens Allmer, Malik Yousef, Hamid Hamzeiy, 2014, Methods in molecular biology.

A study of microRNAs in silico and in vivo: bioinformatics approaches to microRNA discovery and target identification

Malik Yousef, Louise Showe, M. Yousef, 2009, The FEBS journal.

Computational methods for ab initio detection of microRNAs

Jens Allmer, Malik Yousef, M. Yousef, 2012, Front. Gene..

Hamming Distance and K-mer Features for Classification of Pre-cursor microRNAs from Different Species

Malik Yousef, M. Yousef, 2019, Proceedings of the 1st International Conference on Smart Innovation, Ergonomics and Applied Human Factors (SEAHF).

Increased metallothionein gene expression, zinc, and zinc‐dependent resistance to apoptosis in circulating monocytes during HIV viremia

Malik Yousef, Louise Showe, L. Montaner, 2010, Journal of leukocyte biology.

Gene expression profiles in peripheral blood mononuclear cells can distinguish patients with non-small cell lung cancer from patients with nonmalignant lung disease.

Malik Yousef, Anil Vachani, Andrew V Kossenkov, 2009, Cancer research.

Quantitative PCR on 5 genes reliably identifies CTCL patients with 5% to 99% circulating tumor cells with 90% accuracy.

Malik Yousef, M. Yousef, A. Loboda, 2006, Blood.