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PRODID:-//Cornell U. Department of Computer Science//Brown Bag Seminar//EN
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SUMMARY:Brown bag: Haiyuan Yu
DESCRIPTION:Title: ENCAPP: elastic-net-based prognosis and biomarker
	 discovery for human cancers\nSpeaker: Haiyuan Yu\nAbstract: With the
	 explosion of genomic data over the last decade\, there has been a
	 tremendous amount of\neffort to understand the molecular basis of cancer
	 using informatics approaches. However\, this has proven to be\nextremely
	 difficult primarily because of the varied etiology and vast genetic
	 heterogeneity of different cancers and\neven within the same cancer. One
	 particularly challenging problem is to predict prognostic outcome of the
	 disease\nfor different patients. Here\, we present ENCAPP\, an
	 elastic-net-based approach that combines the reference human
	 protein\ninteractome network with gene expression data to accurately
	 predict prognosis for different human cancers.\nOur method identifies
	 functional modules that are differentially expressed between patients
	 with good and bad\nprognosis and uses these to fit a regression model
	 that can be used to predict prognosis for breast\, colon\, rectal\,\nand
	 ovarian cancers. Using this model\, ENCAPP can also identify prognostic
	 biomarkers with a high degree of\nconfidence\, which can be used to
	 generate downstream mechanistic and therapeutic insights
LOCATION:Gates 122
UID:2015-04-28
STATUS:CONFIRMED
DTSTART:20150428T160000Z
DTEND:20150428T170000Z
LAST-MODIFIED:20150427T195152Z
ORGANIZER;CN=Jonathan Shi:http://www.cs.cornell.edu/~jshi/brownbag/
DTSTAMP:20260408T172456Z
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