While it is quite typical to deal with attributes of different data types in the visualization of heterogeneous, multivariate datasets, most existing techniques still focus on the ...
Wolfgang Freiler, Kresimir Matkovic, Helwig Hauser
Background: Microarrays are routinely used to assess mRNA transcript levels on a genome-wide scale. Large amount of microarray datasets are now available in several databases, and...
Mattia Pelizzola, Norman Pavelka, Maria Foti, Paol...
Basket Analysis is the most representative approach in recent study of data mining. However, it cannot be directly applied to the data including numeric data. In this paper, we cl...
Background: Though microarray experiments are very popular in life science research, managing and analyzing microarray data are still challenging tasks for many biologists. Most m...
One of the inherent problems in pattern recognition is the undersampled data problem, also known as the curse of dimensionality reduction. In this paper a new algorithm called pai...