1240 search results - page 62 / 248 » Applying Memetic Algorithms to the Analysis of Microarray Da... |
PARA
2004
Springer
15 years 3 months ago
2004
Springer
It is known that in general, statistical analysis of interval data is an NP-hard problem: even computing the variance of interval data is, in general, NP-hard. Until now, only one ...
BMCBI
2004
14 years 9 months ago
2004
Background: Two or more factor mixed factorial experiments are becoming increasingly common in microarray data analysis. In this case study, the two factors are presence (Patients...
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
Nearest neighborhood consistency is an important concept in statistical pattern recognition, which underlies the well-known k-nearest neighbor method. In this paper, we combine th...
MSV
2004
14 years 11 months ago
2004
Clustering is a prominent method in the data mining field. It is a discovery process that groups data such that intra cluster similarity is maximized and the inter cluster similar...
BIOSYSTEMS
2007
14 years 10 months ago
2007
This paper develops an algorithm that extracts explanatory rules from microarray data, which we treat as time series, using genetic programming (GP) and fuzzy logic. Reverse polis...