Sciweavers

43 search results - page 1 / 9
» Ranking analysis of F-statistics for microarray data
Sort
View
BMCBI
2004
150views more  BMCBI 2004»
13 years 4 months ago
Rank Difference Analysis of Microarrays (RDAM), a novel approach to statistical analysis of microarray expression profiling data
Background: A key step in the analysis of microarray expression profiling data is the identification of genes that display statistically significant changes in expression signals ...
Dietmar E. Martin, Philippe Demougin, Michael N. H...
CSDA
2010
132views more  CSDA 2010»
13 years 4 months ago
Approximate low-rank factorization with structured factors
An approximate rank revealing factorization problem with structure constraints on the normalized factors is considered. Examples of structure, motivated by an application in micro...
Ivan Markovsky, Mahesan Niranjan
BMCBI
2008
99views more  BMCBI 2008»
13 years 4 months ago
Ranking analysis of F-statistics for microarray data
Background: Microarray technology provides an efficient means for globally exploring physiological processes governed by the coordinated expression of multiple genes. However, ide...
Yuan-De Tan, Myriam Fornage, Hongyan Xu
JMLR
2010
136views more  JMLR 2010»
12 years 11 months ago
Evaluation Method for Feature Rankings and their Aggregations for Biomarker Discovery
In this paper we investigate the problem of evaluating ranked lists of biomarkers, which are typically an output of the analysis of high-throughput data. This can be a list of pro...
Ivica Slavkov, Bernard Zenko, Saso Dzeroski
JIPS
2007
134views more  JIPS 2007»
13 years 4 months ago
An Efficient Functional Analysis Method for Micro-array Data Using Gene Ontology
: Microarray data includes tens of thousands of gene expressions simultaneously, so it can be effectively used in identifying the phenotypes of diseases. However, the retrieval of ...
Dong-wan Hong, Jong-keun Lee, Sung-soo Park, Sang-...