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» Gene set analysis using principal components
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144
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KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 4 months ago
Visualized Classification of Multiple Sample Types
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
Li Zhang, Aidong Zhang, Murali Ramanathan
152
Voted
BMCBI
2008
160views more  BMCBI 2008»
15 years 3 months ago
Cross-species and cross-platform gene expression studies with the Bioconductor-compliant R package 'annotationTools'
Background: The variety of DNA microarray formats and datasets presently available offers an unprecedented opportunity to perform insightful comparisons of heterogeneous data. Cro...
Alexandre Kuhn, Ruth Luthi-Carter, Mauro Delorenzi
110
Voted
BMCBI
2005
80views more  BMCBI 2005»
15 years 3 months ago
Gene finding in the chicken genome
Background: Despite the continuous production of genome sequence for a number of organisms, reliable, comprehensive, and cost effective gene prediction remains problematic. This i...
Eduardo Eyras, Alexandre Reymond, Robert Castelo, ...
IWMM
2009
Springer
130views Hardware» more  IWMM 2009»
15 years 10 months ago
A component model of spatial locality
Good spatial locality alleviates both the latency and bandwidth problem of memory by boosting the effect of prefetching and improving the utilization of cache. However, convention...
Xiaoming Gu, Ian Christopher, Tongxin Bai, Chengli...
146
Voted
BMCBI
2010
111views more  BMCBI 2010»
15 years 3 months ago
Functional Analysis: Evaluation of Response Intensities - Tailoring ANOVA for Lists of Expression Subsets
Background: Microarray data is frequently used to characterize the expression profile of a whole genome and to compare the characteristics of that genome under several conditions....
Fabrice Berger, Bertrand De Meulder, Anthoula Gaig...