Malik Yousef
Malik Yousef
Zefat Academic College
Verified email at - Homepage
Cited by
Cited by
One-class SVMs for document classification
LM Manevitz, M Yousef
Journal of machine Learning research 2 (Dec), 139-154, 2001
One-class document classification via neural networks
L Manevitz, M Yousef
Neurocomputing 70 (7-9), 1466-1481, 2007
Combining multi-species genomic data for microRNA identification using a Naive Bayes classifier
M Yousef, M Nebozhyn, H Shatkay, S Kanterakis, LC Showe, MK Showe
Bioinformatics 22 (11), 1325-1334, 2006
Epigenetic regulation of Kaposi's sarcoma-associated herpesvirus latency by virus-encoded microRNAs that target Rta and the cellular Rbl2-DNMT pathway
F Lu, W Stedman, M Yousef, R Renne, PM Lieberman
Journal of virology 84 (6), 2697-2706, 2010
Applications of machine learning in human microbiome studies: a review on feature selection, biomarker identification, disease prediction and treatment
LJ Marcos-Zambrano, K Karaduzovic-Hadziabdic, T Loncar Turukalo, ...
Frontiers in microbiology 12, 634511, 2021
Naïve Bayes for microRNA target predictions—machine learning for microRNA targets
M Yousef, S Jung, AV Kossenkov, LC Showe, MK Showe
Bioinformatics 23 (22), 2987-2992, 2007
Gene expression profiles in peripheral blood mononuclear cells can distinguish patients with non–small cell lung cancer from patients with nonmalignant lung disease
MK Showe, A Vachani, AV Kossenkov, M Yousef, C Nichols, EV Nikonova, ...
Cancer research 69 (24), 9202-9210, 2009
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
M Yousef, S Jung, LC Showe, MK Showe
BMC bioinformatics 8, 1-12, 2007
Quantitative PCR on 5 genes reliably identifies CTCL patients with 5% to 99% circulating tumor cells with 90% accuracy
M Nebozhyn, A Loboda, L Kari, AH Rook, EC Vonderheid, S Lessin, ...
Blood 107 (8), 3189-3196, 2006
Circulating monocytes in HIV-1-infected viremic subjects exhibit an antiapoptosis gene signature and virus-and host-mediated apoptosis resistance
MS Giri, M Nebozyhn, A Raymond, B Gekonge, A Hancock, S Creer, ...
The Journal of Immunology 182 (7), 4459-4470, 2009
Learning from positive examples when the negative class is undetermined-microRNA gene identification
M Yousef, S Jung, LC Showe, MK Showe
Algorithms for molecular biology 3, 1-9, 2008
A study of microRNAs in silico and in vivo: bioinformatics approaches to microRNA discovery and target identification
M Yousef, L Showe, M Showe
The FEBS journal 276 (8), 2150-2156, 2009
Computational methods for microRNA target prediction
H Hamzeiy, J Allmer, M Yousef
miRNomics: MicroRNA Biology and Computational Analysis, 207-221, 2014
Classification and biomarker identification using gene network modules and support vector machines
M Yousef, M Ketany, L Manevitz, LC Showe, MK Showe
BMC bioinformatics 10, 1-7, 2009
Finite–element mesh generation using self–organizing neural networks
L Manevitz, M Yousef, D Givoli
Computer‐Aided Civil and Infrastructure Engineering 12 (4), 233-250, 1997
Application of biological domain knowledge based feature selection on gene expression data
M Yousef, A Kumar, B Bakir-Gungor
Entropy 23 (1), 2, 2020
Increased metallothionein gene expression, zinc, and zinc-dependent resistance to apoptosis in circulating monocytes during HIV viremia
AD Raymond, B Gekonge, MS Giri, A Hancock, E Papasavvas, J Chehimi, ...
Journal of leukocyte biology 88 (3), 589-596, 2010
miRNomics: microRNA biology and computational analysis
M Yousef, J Allmer
Humana Press, 2014
miRNomics: microRNA biology and computational analysis
M Yousef, J Allmer
Humana Press, 2014
Document classification on neural networks using only positive examples
LM Manevitz, M Yousef
Proceedings of the 23rd annual international ACM SIGIR conference on …, 2000
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