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» Visualization of Gene Combinations
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BMCBI
2010
144views more  BMCBI 2010»
13 years 7 months ago
Super-sparse principal component analyses for high-throughput genomic data
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawita...
BIBE
2007
IEEE
124views Bioinformatics» more  BIBE 2007»
14 years 1 months ago
Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
Chan-Hoon Park, Soo-Jin Kim, Sun Kim, Dong-Yeon Ch...
VL
1996
IEEE
123views Visual Languages» more  VL 1996»
13 years 11 months ago
GenEd - An Editor with Generic Semantics for Formal Reasoning about Visual Notations
We describe the object-oriented editor GenEd supporting the design of specifications for visual notations. Prominent features of GenEd are (1) it is generic, i.e. domain-specific ...
Volker Haarslev, Michael Wessel
ISMDA
2004
Springer
14 years 1 months ago
Visualization of Biological Information with Circular Drawings
Being able to clearly visualize clusters of genes provided by gene expressions over a set of samples is of high importance. It gives researchers the ability to create an image of t...
Alkiviadis Symeonidis, Ioannis G. Tollis
BMCBI
2005
94views more  BMCBI 2005»
13 years 7 months ago
Visualization-based discovery and analysis of genomic aberrations in microarray data
Background: Chromosomal copy number changes (aneuploidies) play a key role in cancer progression and molecular evolution. These copy number changes can be studied using microarray...
Chad L. Myers, Xing Chen, Olga G. Troyanskaya