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	1.	Distinguishing endogenous retroviral LTRs from SINE elements using features extracted from evolved side effect machines. [electronic resource] by Ashlock, Wendy Datta, Suprakash Producer: 20130722 In: IEEE/ACM transactions on computational biology and bioinformatics vol. 9 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	2.	SWIFT-scalable clustering for automated identification of rare cell populations in large, high-dimensional flow cytometry datasets, part 1: algorithm design. [electronic resource] by Naim, Iftekhar Datta, Suprakash Rebhahn, Jonathan Cavenaugh, James S Mosmann, Tim R Sharma, Gaurav Producer: 20141209 In: Cytometry. Part A : the journal of the International Society for Analytical Cytology vol. 85 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	3.	SWIFT-scalable clustering for automated identification of rare cell populations in large, high-dimensional flow cytometry datasets, part 2: biological evaluation. [electronic resource] by Mosmann, Tim R Naim, Iftekhar Rebhahn, Jonathan Datta, Suprakash Cavenaugh, James S Weaver, Jason M Sharma, Gaurav Producer: 20141209 In: Cytometry. Part A : the journal of the International Society for Analytical Cytology vol. 85 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)

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