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144
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BMCBI
2007
123views more  BMCBI 2007»
15 years 3 months ago
Robust clustering in high dimensional data using statistical depths
Background: Mean-based clustering algorithms such as bisecting k-means generally lack robustness. Although componentwise median is a more robust alternative, it can be a poor cent...
Yuanyuan Ding, Xin Dang, Hanxiang Peng, Dawn Wilki...
137
Voted
BMCBI
2005
112views more  BMCBI 2005»
15 years 3 months ago
Visualization methods for statistical analysis of microarray clusters
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...
138
Voted
BMCBI
2005
104views more  BMCBI 2005»
15 years 3 months ago
A statistical approach for array CGH data analysis
Background: Microarray-CGH experiments are used to detect and map chromosomal imbalances, by hybridizing targets of genomic DNA from a test and a reference sample to sequences imm...
Franck Picard, Stéphane Robin, Marc Laviell...
136
Voted
BMCBI
2005
134views more  BMCBI 2005»
15 years 3 months ago
Inherited disorder phenotypes: controlled annotation and statistical analysis for knowledge mining from gene lists
Background: Analysis of inherited diseases and their associated phenotypes is of great importance to gain knowledge of underlying genetic interactions and could ultimately give cl...
Marco Masseroli, Osvaldo Galati, Mauro Manzotti, K...
162
Voted
JCB
2007
145views more  JCB 2007»
15 years 3 months ago
Confounding Factors in HGT Detection: Statistical Error, Coalescent Effects, and Multiple Solutions
Prokaryotic organisms share genetic material across species boundaries by means of a process known as horizontal gene transfer (HGT). This process has great significance for unde...
Cuong Than, Derek A. Ruths, Hideki Innan, Luay Nak...