61 search results - page 12 / 13 » Active learning for sampling in time-series experiments with... |
BMCBI
2006
13 years 6 months ago
2006
Background: Massive gene expression changes in different cellular states measured by microarrays, in fact, reflect just an "echo" of real molecular processes in the cell...
JMLR
2008
13 years 6 months ago
2008
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
BMCBI
2004
13 years 6 months ago
2004
Background: A central challenge in the molecular diagnosis and treatment of cancer is to define a set of molecular features that, taken together, distinguish a given cancer, or ty...
BMCBI
2010
13 years 6 months ago
2010
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
BMCBI
2010
13 years 6 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...