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I am a 5th-year PhD candidate in the Department of
Computer Science at
Cornell University funded by the
Tri-Institutional Fellowship in Computational Biology and Medicine.
My advisor is Uri Keich.
My research interest lies
in developing algorithms and statistical methods for the analysis of biological data.
Currently, I am working on problems for the identification of transcription factor binding sites
(or broadly known as motif discovery).
In the area of biology, I am particularly interested in the understanding of gene regulation,
including transcriptional regulation.
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Software
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GIMSAN - web application/server for
motif-discovery equipped with a practical and reliable statistical significance analysis.
It is also available as a stand-alone application on Unix.
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GibbsILR - motif-finder that
optimizes for the incomplete likelihood ratio (ILR)
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Publications
- Patrick Ng, Uri Keich. GIMSAN: A Gibbs motif finder with significance analysis. Bioinformatics, 24 (19): 2256-2257, 2008.
- Patrick Ng, Uri Keich. Factoring local sequence composition in motif significance
analysis. Proceedings of the 19th International Conference on Genome Informatics (GIW), Gold Coast Australia 2008.
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Uri Keich, Patrick Ng.
A conservative parametric approach
to motif significance analysis. Proceedings of the 18th International
Conference on Genome Informatics (GIW), Singapore 2007.
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Patrick Ng, Niranjan Nagarajan, Neil Jones, Uri Keich.
Apples to apples: improving the performance of motif finders and
their significance analysis in the Twilight Zone.
Proceedings of the 14th International Conference on Intelligent
Systems for Molecular Biology (ISMB 2006).
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Niranjan Nagarajan, Patrick Ng, Uri Keich.
Refining motif finders with E-value calculations. Proceedings of the
RECOMB Satellite Workshop on Regulatory Genomics 2006.
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Presentations
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