82 search results - page 6 / 17 » Binary matrix factorization for analyzing gene expression da... |
BMCBI
2007
13 years 7 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
BMCBI
2010
13 years 7 months ago
2010
Background: Time-course microarray experiments can produce useful data which can help in understanding the underlying dynamics of the system. Clustering is an important stage in m...
TCBB
2010
13 years 5 months ago
2010
— The recent development of methods for extracting precise measurements of spatial gene expression patterns from three-dimensional (3D) image data opens the way for new analyses ...
BIBE
2007
IEEE
13 years 9 months ago
2007
IEEE
—DNA microarray technologies provide means for monitoring in the order of tens of thousands of gene expression levels quantitatively and simultaneously. However data generated in...
BMCBI
2010
13 years 7 months ago
2010
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...