89 search results - page 12 / 18 » Mining gene expression data by interpreting principal compon... |
ICIC
2009
Springer
14 years 3 months ago
2009
Springer
Now the classification of different tumor types is of great importance in cancer diagnosis and drug discovery. It is more desirable to create an optimal ensemble for data analysis ...
BIODATAMINING
2008
13 years 8 months ago
2008
Background: Analysis of a microarray experiment often results in a list of hundreds of diseaseassociated genes. In order to suggest common biological processes and functions for t...
GFKL
2005
Springer
14 years 2 months ago
2005
Springer
Mixture models represent results of gene expression cluster analysis in a more natural way than ’hard’ partitions. This is also true for the representation of gene labels, such...
CSDA
2007
13 years 8 months ago
2007
We develop regression diagnostics for functional regression models which relate a functional response to predictor variables that can be multivariate vectors or random functions. ...
JIB
2006
13 years 8 months ago
2006
In biomedical research, interpretation of microarray data requires confrontation of data and knowledge from heterogeneous resources, either in the biomedical domain or in genomics...