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» Spotting effect in microarray experiments
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82
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BMCBI
2006
94views more  BMCBI 2006»
15 years 15 days ago
Simulation of microarray data with realistic characteristics
Background: Microarray technologies have become common tools in biological research. As a result, a need for effective computational methods for data analysis has emerged. Numerou...
Matti Nykter, Tommi Aho, Miika Ahdesmäki, Pek...
95
Voted
BMCBI
2006
134views more  BMCBI 2006»
15 years 15 days ago
An approach for clustering gene expression data with error information
Background: Clustering of gene expression patterns is a well-studied technique for elucidating trends across large numbers of transcripts and for identifying likely co-regulated g...
Brian Tjaden
ISBRA
2007
Springer
15 years 6 months ago
A Bootstrap Correspondence Analysis for Factorial Microarray Experiments with Replications
Characterized by simultaneous measurement of the effects of experimental factors and their interactions, the economic and efficient factorial design is well accepted in microarray ...
Qihua Tan, Jesper Dahlgaard, Basem M. Abdallah, We...
86
Voted
BMCBI
2007
62views more  BMCBI 2007»
15 years 17 days ago
Missing channels in two-colour microarray experiments: Combining single-channel and two-channel data
Background: There are mechanisms, notably ozone degradation, that can damage a single channel of two-channel microarray experiments. Resulting analyses therefore often choose betw...
Andy G. Lynch, David E. Neal, John D. Kelly, Glyn ...
74
Voted
BMCBI
2008
112views more  BMCBI 2008»
15 years 17 days ago
Normalization for triple-target microarray experiments
Background: Most microarray studies are made using labelling with one or two dyes which allows the hybridization of one or two samples on the same slide. In such experiments, the ...
Marie-Laure Martin-Magniette, Julie Aubert, Avner ...