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Activity Number: 285
Type: Contributed
Date/Time: Tuesday, July 31, 2007 : 10:30 AM to 12:20 PM
Sponsor: Biopharmaceutical Section
Abstract - #309994
Title: Analyzing Omics Data Using rSVD and NMF
Author(s): Li Liu*+ and Donghui Zhang
Companies: sanofi-aventis and sanofi-aventis
Address: 1041 Rt 202 206, Bridgewater, NJ, 08807,
Keywords: rSVD ; NMF ; omics data
Abstract:

Robust singular value decomposition (rSVD) and non-negative matrix factorization (NMF) are two useful methods for analyzing omics data. We compared the two methods using simulated data and real data. The similarities and differences between the two methods are studied, and some practical remarks are provided.

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Revised September, 2007