Search Results - subject:"microarray"

The Cyclohedron Test for Finding Periodic Genes in Time Course Expression Studies

Morton, Jason; Pachter, Lior; Shiu, Anne; Sturmfels, Bernd - In: Statistical Applications in Genetics and Molecular Biology 6 (2007) 1, pp. 21-21

The problem of finding periodically expressed genes from time course microarray experiments is at the center of …

Persistent link: https://www.econbiz.de/10005459176

Visualisation of Gene Expression Data Ã¢ÂÂ the GE-biplot, the Chip-plot and the Gene-plot

Pittelkow, Yvonne; Wilson, Susan - In: Statistical Applications in Genetics and Molecular Biology 2 (2007) 1, pp. 6-6

Visualisation methods for exploring microarray data are particularly important for gaining insight into data from gene …. Further, good visualisation techniques are useful for outlier detection in microarray data and for aiding biological … display of microarray data as both the genes and the chips can be simultaneously plotted. In this paper we describe several …

Persistent link: https://www.econbiz.de/10005046577

Approximate Sample Size Calculations with Microarray Data: An Illustration

Ferreira, José; Zwinderman, Aeilko - In: Statistical Applications in Genetics and Molecular Biology 5 (2007) 1, pp. 25-25

We outline a method of sample size calculation in microarray experiments on the basis of pilot data and illustrate its …

Persistent link: https://www.econbiz.de/10005046608

Empirical Bayes Microarray ANOVA and Grouping Cell Lines by Equal Expression Levels

Ingrid LÃÂ¶nnstedt; Rimini, Rebecca; Nilsson, Peter - In: Statistical Applications in Genetics and Molecular Biology 4 (2007) 1, pp. 7-7

research. The usual F-statistic is unsatisfactory for microarray data, which explore many thousand genes in parallel, with few …

Persistent link: https://www.econbiz.de/10005046615

Early Diagnostic Marker Panel Determination for Microarray Based Clinical Studies

Jaeger, Jochen; Weichenhan, Dieter; Ivandic, Boris; … - In: Statistical Applications in Genetics and Molecular Biology 4 (2007) 1, pp. 9-9

We present a novel, cost efficient two-phase design for predictive clinical gene expression studies: early marker panel determination (EMPD). In Phase-1, genome-wide microarrays are used only for a small number of individual patient samples. From this Phase-1 data a panel of marker genes is...

Persistent link: https://www.econbiz.de/10005046621

Saturation and Quantization Reduction in Microarray Experiments using Two Scans at Different Sensitivities

Jorge GarcÃÂa de la Nava; Hijum, Sacha van; … - In: Statistical Applications in Genetics and Molecular Biology 3 (2007) 1, pp. 11-11

We present a mathematical model to extend the dynamic range of gene expression data measured by laser scanners. The strategy is based on the rather simple but novel idea of producing two images with different scanner sensitivities, obtaining two different sets of expression values: the first is...

Persistent link: https://www.econbiz.de/10005585060

Reader's Reaction to "Dimension Reduction for Classification with Gene Expression Microarray Data" by Dai et al (2006)

Boulesteix, Anne-Laure - In: Statistical Applications in Genetics and Molecular Biology 5 (2007) 1, pp. 16-16

This note is a comment on the article "Dimension Reduction for Classification with Gene Expression Microarray Data …

Persistent link: https://www.econbiz.de/10005585066

Concerns About Unreliable Data from Spotted cDNA Microarrays Due to Cross-Hybridization and Sequence Errors

Handley, Daniel; Serban, Nicoleta; Peters, David; … - In: Statistical Applications in Genetics and Molecular Biology 3 (2007) 1, pp. 25-25

microarrays. We feel that statisticians who analyze microarray data should be aware of these sources of unreliability intrinsic to … cDNA microarray design and use. …

Persistent link: https://www.econbiz.de/10005585075

Weighted Analysis of Paired Microarray Experiments

Kristiansson, Erik; Anders SjÃÂ¶gren; Rudemo, Mats; … - In: Statistical Applications in Genetics and Molecular Biology 4 (2007) 1, pp. 30-30

In microarray experiments quality often varies, for example between samples and between arrays. The need for quality …

Persistent link: https://www.econbiz.de/10005585078

Hierarchical Inverse Gaussian Models and Multiple Testing: Application to Gene Expression Data

Labbe, Aurelie; Thompson, Mary - In: Statistical Applications in Genetics and Molecular Biology 4 (2007) 1, pp. 23-23

Detecting differentially expressed genes in microarray experiments is a topic that has been well studied in the … intensities. However, the shape of microarray data may vary substantially from one experiment to another, and model assumptions … may be seriously violated in many cases. The literature on microarray data is mainly based on two distributions: the log …

Persistent link: https://www.econbiz.de/10005585086