97 search results - page 8 / 20 » Using Machine Learning to Design and Interpret Gene-Expressi... |
BMCBI
2006
13 years 7 months ago
2006
Background: Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of data classification problems. Since the p...
BMCBI
2006
13 years 7 months ago
2006
Background: The incorporation of statistical models that account for experimental variability provides a necessary framework for the interpretation of microarray data. A robust ex...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
BMCBI
2005
13 years 7 months ago
2005
Background: The advent of the technology of DNA microarrays constitutes an epochal change in the classification and discovery of different types of cancer because the information ...
BMCBI
2007
13 years 7 months ago
2007
Background: There are many fewer genes in the human genome than there are expressed transcripts. Alternative splicing is the reason. Alternatively spliced transcripts are often sp...