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IJCNN
2008
IEEE
15 years 7 months ago
Dataset complexity can help to generate accurate ensembles of k-nearest neighbors
— Gene expression based cancer classification using classifier ensembles is the main focus of this work. A new ensemble method is proposed that combines predictions of a small ...
Oleg Okun, Giorgio Valentini
85
Voted
ISMB
2001
15 years 2 months ago
Molecular classification of multiple tumor types
Using gene expression data to classify tumor types is a very promising tool in cancer diagnosis. Previous works show several pairs of tumor types can be successfully distinguished...
Chen-Hsiang Yeang, Sridhar Ramaswamy, Pablo Tamayo...
118
Voted
BMCBI
2006
125views more  BMCBI 2006»
15 years 26 days ago
Evaluating different methods of microarray data normalization
Background: With the development of DNA hybridization microarray technologies, nowadays it is possible to simultaneously assess the expression levels of thousands to tens of thous...
André Fujita, João Ricardo Sato, Leo...
115
Voted
BMCBI
2004
124views more  BMCBI 2004»
15 years 20 days ago
XHM: A system for detection of potential cross hybridizations in DNA microarrays
Background: Microarrays have emerged as the preferred platform for high throughput gene expression analysis. Cross-hybridization among genes with high sequence similarities can be...
Kristian Flikka, Fekadu Yadetie, Astrid Lægr...
BMCBI
2008
137views more  BMCBI 2008»
15 years 28 days ago
VennMaster: Area-proportional Euler diagrams for functional GO analysis of microarrays
Background: Microarray experiments generate vast amounts of data. The functional context of differentially expressed genes can be assessed by querying the Gene Ontology (GO) datab...
Hans A. Kestler, André Müller, Johann ...