1162 search results - page 25 / 233 » Unfolding of Microarray Data |
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. Microarrays allow simultaneous measurement of the expression levels of thousands of genes in cells under different physiological or disease states. Because the number of...
DASFAA
2005
IEEE
14 years 1 months ago
2005
IEEE
Abstract. Pattern-based clustering has broad applications in microarray data analysis, customer segmentation, e-business data analysis, etc. However, pattern-based clustering often...
IDA
2006
Springer
13 years 7 months ago
2006
Springer
The analysis of microarray data from time-series experiments requires specialised algorithms, which take the temporal ordering of the data into account. In this paper we explore a ...
RECOMB
2006
Springer
14 years 8 months ago
2006
Springer
Permutation of class labels is a common approach to build null distributions for significance analyis of microarray data. It is assumed to produce random score distributions, which...
AIME
2009
Springer
13 years 11 months ago
2009
Springer
This paper empirically compares six background correction methods aimed at removing unspecific background noise of the overall signal level measured by a scanner across microarrays...