Papers for class presentation.
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Topics: Gene Expression Arrays and Analysis
		Modeling regulatory pathways
		Gene chip problems

April 24th -- Analysis of gene expression array data
	  
	  KINMAN: Bayesian network models for analyzing 
gene expression data (Friedman et al.)	  

	  KONSTANTIN: Nearest neighbor classifers for 
tissues (Ben-dor et al.) and for class prediction and 
discovery (Slonim et al)

April 27th -- K-means clustering methods for expression analysis

	  Prof. FALOUTSOS: Intro to k-means clustering.

	  AKIRA: Using k-means clustering to determine 
genetic network architecture (Tavazoie et al.)

May 1st -- Model of genetic networks.

	VENK: Survey of math models of genetic networks (Smolen et al.) 
and a linear model of expression levels (D'Haeseleer et al.)

	ABIE: A boolean model (Akutsu et al) and Self-organizing 
maps model (Tamayo et al.) for modeling genetic networks.

May 3rd -- DNA chip problems

	AMITABH: Optimal algorithms or SBH (Preparata et al.)

	BJARNI: Universal DNA-tag system design (Ben-Dor et al.)