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SELECTING MAXIMALLY INFORMATIVE GENES TO ENABLE TEMPORAL EXPRESSION PROFILING
 

Summary: SELECTING MAXIMALLY INFORMATIVE GENES
TO ENABLE TEMPORAL EXPRESSION PROFILING
ANALYSIS
I.P. Androulakis1,2,
, J. Vitolo2
and C. Roth1,2
1
Biomedical Engineering Department
2
Chemical & Biochemical Engineering Department
Rutgers, The State University of New Jersey, Piscataway, NJ 088554
Abstract
Use of microarrays to analyze drug responses has mainly been restricted to comparing treated versus
untreated samples at a few time points. In order to decipher the complex expression interactions and
their biological implications, we need to account for the temporal evolution of expression profiling over
a number of time points. This paper analyzes data obtained from an extended microarray time series (rat
liver) for the in vivo responses to a single dose of methylprednisolone (Almon, DuBois et al. 2003). We
propose a framework that identifies, in an unsupervised, exact and rigorous manner, distinct expression
patterns and furthermore, assigns a critical subset of informative genes to each of these expression
motifs. The biological relevance of the identified groups of informative genes is evaluated within the

  

Source: Androulakis, Ioannis (Yannis) - Biomedical Engineering Department & Department of Chemical and Biochemical Engineering, Rutgers University

 

Collections: Engineering; Biology and Medicine