238 search results - page 6 / 48 » Using Formal Concept Analysis for Microarray Data Comparison |
BMCBI
2005
13 years 7 months ago
2005
Background: The evaluation of statistical significance has become a critical process in identifying differentially expressed genes in microarray studies. Classical p-value adjustm...
MDAI
2007
Springer
14 years 1 months ago
2007
Springer
Formal concept analysis (FCA) is a method of exploratory data analysis. The data is in the form of a table describing relationship between objects (rows) and attributes (columns), ...
DIM
2007
ACM
13 years 11 months ago
2007
ACM
In this paper, we examine how conclusions about linkability threats can be drawn by analyzing message contents and subject knowledge in arbitrary communication systems. At first, ...
IDA
2009
Springer
14 years 9 days ago
2009
Springer
Searching for interesting patterns in binary matrices plays an important role in data mining and, in particular, in formal concept analysis and related disciplines. Several algorit...
BMCBI
2004
13 years 7 months ago
2004
Background: To cancel experimental variations, microarray data must be normalized prior to analysis. Where an appropriate model for statistical data distribution is available, a p...