Sort by:

• Highly Influential Citations
• Citations
• Acceleration
• Velocity
• Recency

Learn More

One-Class SVMs for Document Classification

• Larry M. Manevitz, Malik Yousef
• Journal of Machine Learning Research
• 2001

We implemented versions of the SVM appropriate for one-class classification in the context of information retrieval. The experiments were conducted on the standard Reuters data set. For the SVM… (More)

Epigenetic regulation of Kaposi's sarcoma-associated herpesvirus latency by virus-encoded microRNAs that target Rta and the cellular Rbl2-DNMT pathway.

• Fang Lu, William Stedman, Malik Yousef, Rolf Renne, Paul M. Lieberman
• Journal of virology
• 2010

Kaposi's sarcoma-associated herpesvirus (KSHV) encodes a cluster of 12 microRNAs (miRNAs) that are processed from a transcript that is embedded within the major latency control region. We have… (More)

Combining multi-species genomic data for microRNA identification using a Naïve Bayes classifier

• Malik Yousef, Michael Nebozhyn, Hagit Shatkay, Stathis Kanterakis, Louise C. Showe, Michael K. Showe
• Bioinformatics
• 2006

MOTIVATION Most computational methodologies for microRNA gene prediction utilize techniques based on sequence conservation and/or structural similarity. In this study we describe a new technique,… (More)

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

• Malik Yousef, Segun Jung, Andrew V. Kossenkov, Louise C. Showe, Michael K. Showe
• Bioinformatics
• 2007

MOTIVATION Most computational methodologies for miRNA:mRNA target gene prediction use the seed segment of the miRNA and require cross-species sequence conservation in this region of the mRNA target.… (More)

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

• Malik Yousef, Segun Jung, Louise C. Showe, Michael K. Showe
• Algorithms for Molecular Biology
• 2007

The application of machine learning to classification problems that depend only on positive examples is gaining attention in the computational biology community. We and others have described the use… (More)

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

• Malik Yousef, Segun Jung, Louise C. Showe, Michael K. Showe
• BMC Bioinformatics
• 2006

Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that are important for distinguishing… (More)

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

• Michael K. Showe, Anil Vachani, +12 authors Louise C. Showe
• Cancer research
• 2009

Early diagnosis of lung cancer followed by surgery presently is the most effective treatment for non-small cell lung cancer (NSCLC). An accurate, minimally invasive test that could detect early… (More)

Circulating monocytes in HIV-1-infected viremic subjects exhibit an antiapoptosis gene signature and virus- and host-mediated apoptosis resistance.

• Malavika S. Giri, Michael Nebozyhn, +13 authors Luis J Montaner
• Journal of immunology
• 2009

Mechanisms that may allow circulating monocytes to persist as CD4 T cells diminish in HIV-1 infection have not been investigated. We have characterized steady-state gene expression signatures in… (More)

Physiological and ecological studies on the chisel-toothed kangaroo rat, Dipodomys microps.

• L J Breyen, Wayne Bradley, Malik Yousef
• Comparative biochemistry and physiology. A…
• 1973

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

• Malik Yousef, Mohamed Ketany, Larry M. Manevitz, Louise C. Showe, Michael K. Showe
• BMC Bioinformatics
• 2009

Classification using microarray datasets is usually based on a small number of samples for which tens of thousands of gene expression measurements have been obtained. The selection of the genes most… (More)

• ‹
• 1
• 2
• 3
• 4
• 5
• ›