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BMCBI
2008
104views more  BMCBI 2008»
13 years 11 months ago
Missing value imputation improves clustering and interpretation of gene expression microarray data
Background: Missing values frequently pose problems in gene expression microarray experiments as they can hinder downstream analysis of the datasets. While several missing value i...
Johannes Tuikkala, Laura Elo, Olli Nevalainen, Ter...
BMCBI
2004
143views more  BMCBI 2004»
13 years 11 months ago
Comparing functional annotation analyses with Catmap
Background: Ranked gene lists from microarray experiments are usually analysed by assigning significance to predefined gene categories, e.g., based on functional annotations. Tool...
Thomas Breslin, Patrik Edén, Morten Krogh
MSWIM
2004
ACM
14 years 4 months ago
Experimental evaluation of wireless simulation assumptions
All analytical and simulation research on ad hoc wireless networks must necessarily model radio propagation using simplifying assumptions. Although it is tempting to assume that a...
David Kotz, Calvin C. Newport, Robert S. Gray, Jas...
BMCBI
2007
94views more  BMCBI 2007»
13 years 11 months ago
Model based analysis of real-time PCR data from DNA binding dye protocols
Background: Reverse transcription followed by real-time PCR is widely used for quantification of specific mRNA, and with the use of double-stranded DNA binding dyes it is becoming...
Mariano J. Alvarez, Guillermo J. Vila-Ortiz, Maria...
BMCBI
2005
112views more  BMCBI 2005»
13 years 11 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...