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» Selection of DNA Markers
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CANDC
2005
ACM
14 years 9 months ago
Gene selection from microarray data for cancer classification - a machine learning approach
A DNA microarray can track the expression levels of thousands of genes simultaneously. Previous research has demonstrated that this technology can be useful in the classification ...
Yu Wang 0008, Igor V. Tetko, Mark A. Hall, Eibe Fr...
73
Voted
BMCBI
2007
95views more  BMCBI 2007»
14 years 9 months ago
ZPS: visualization of recent adaptive evolution of proteins
Background: Detection of adaptive amino acid changes in proteins under recent short-term selection is of great interest for researchers studying microevolutionary processes in mic...
Sujay Chattopadhyay, Daniel E. Dykhuizen, Evgeni V...
BMCBI
2007
143views more  BMCBI 2007»
14 years 9 months ago
Gene selection for classification of microarray data based on the Bayes error
Background: With DNA microarray data, selecting a compact subset of discriminative genes from thousands of genes is a critical step for accurate classification of phenotypes for, ...
Ji-Gang Zhang, Hong-Wen Deng
ECAL
2005
Springer
15 years 3 months ago
Artificial Life Meets Anthropology: A Case of Aggression in Primitive Societies
One of the greatest challenges in the modern biological and social sciences has been to understand the evolution of altruistic and cooperative behaviors. General outlines of the an...
Mikhail S. Burtsev
82
Voted
BMCBI
2010
116views more  BMCBI 2010»
14 years 9 months ago
FiGS: a filter-based gene selection workbench for microarray data
Background: The selection of genes that discriminate disease classes from microarray data is widely used for the identification of diagnostic biomarkers. Although various gene sel...
Taeho Hwang, Choong-Hyun Sun, Taegyun Yun, Gwan-Su...