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» Gene Expression Data Management: A Case Study
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BMCBI
2010
165views more  BMCBI 2010»
15 years 6 months ago
Filtering, FDR and power
Background: In high-dimensional data analysis such as differential gene expression analysis, people often use filtering methods like fold-change or variance filters in an attempt ...
Maarten van Iterson, Judith M. Boer, Renée ...
BMCBI
2007
105views more  BMCBI 2007»
15 years 6 months ago
Text-derived concept profiles support assessment of DNA microarray data for acute myeloid leukemia and for androgen receptor sti
Background: High-throughput experiments, such as with DNA microarrays, typically result in hundreds of genes potentially relevant to the process under study, rendering the interpr...
Rob Jelier, Guido Jenster, Lambert C. J. Dorssers,...
BMCBI
2007
109views more  BMCBI 2007»
15 years 6 months ago
Discarding duplicate ditags in LongSAGE analysis may introduce significant error
Background: During gene expression analysis by Serial Analysis of Gene Expression (SAGE), duplicate ditags are routinely removed from the data analysis, because they are suspected...
Jeppe Emmersen, Anna M. Heidenblut, Annabeth Laurs...
BMCBI
2005
113views more  BMCBI 2005»
15 years 6 months ago
Systematic survey reveals general applicability of "guilt-by-association" within gene coexpression networks
Background: Biological processes are carried out by coordinated modules of interacting molecules. As clustering methods demonstrate that genes with similar expression display incr...
Cecily J. Wolfe, Isaac S. Kohane, Atul J. Butte
EVOW
2008
Springer
15 years 8 months ago
Learning Gaussian Graphical Models of Gene Networks with False Discovery Rate Control
In many cases what matters is not whether a false discovery is made or not but the expected proportion of false discoveries among all the discoveries made, i.e. the so-called false...
Jose M. Peña