Search Results - subject:"microarray"

A New Type of Stochastic Dependence Revealed in Gene Expression Data

Klebanov, Lev; Jordan, Craig; Yakovlev, Andrei - In: Statistical Applications in Genetics and Molecular Biology 5 (2007) 1, pp. 7-7

Modern methods of microarray data analysis are biased towards selecting those genes that display the most pronounced … criteria are needed to supplement the information on differential expression. Three large sets of microarray data on childhood …

Persistent link: https://www.econbiz.de/10005752564

Cox Survival Analysis of Microarray Gene Expression Data Using Correlation Principal Component Regression

Zhao, Qiang; Sun, Jianguo - In: Statistical Applications in Genetics and Molecular Biology 6 (2007) 1, pp. 16-16

Statistical analysis of microarray gene expression data has recently attracted a great deal of attention. One problem … approach to conduct the Cox survival analysis of microarray gene expression data with the focus on models' predictive ability …

Persistent link: https://www.econbiz.de/10005752574

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

A Compendium to Ensure Computational Reproducibility in High-Dimensional Classification Tasks

Ruschhaupt, Markus; Huber, Wolfgang; Poustka, Annemarie; … - In: Statistical Applications in Genetics and Molecular Biology 3 (2007) 1, pp. 37-37

microarray gene expression profiles. A compendium is an interactive document that bundles primary data, statistical processing … microarray data set that first has been studied by Huang et al. (2003). …

Persistent link: https://www.econbiz.de/10005246451

An Empirical Bayesian Method for Differential Expression Studies Using One-Channel Microarray Data

Lin, Yan; Reynolds, Paul; Feingold, Eleanor - In: Statistical Applications in Genetics and Molecular Biology 2 (2007) 1, pp. 8-8

. One of the most common types of microarray experiments is simply an exploratory study to compare two samples (e.g. tumor … rates than t-statistic-based methods. However, their method was designed mainly for the two-channel microarray, which …

Persistent link: https://www.econbiz.de/10005246463

Quality Optimised Analysis of General Paired Microarray Experiments

Kristiansson, Erik; Anders SjÃÂ¶gren; Rudemo, Mats; … - In: Statistical Applications in Genetics and Molecular Biology 5 (2007) 1, pp. 10-10

In microarray experiments, several steps may cause sub-optimal quality and the need for quality control is strong …. Often the experiments are complex, with several conditions studied simultaneously. A linear model for paired microarray …

Persistent link: https://www.econbiz.de/10005246476

Experimental Design for Two-Color Microarrays Applied in a Pre-Existing Split-Plot Experiment

Milliken, G.; Garrett, K.; Travers, S. - In: Statistical Applications in Genetics and Molecular Biology 6 (2007) 1, pp. 20-20

Microarray applications for the study of gene expression are becoming accessible for researchers in more and more … microarray within a level of the subplot treatment. Design B has crossed levels paired on the same microarray. Design C has … levels of the treatment applied to subplots paired on the same microarray within a whole plot. Designs A and B have lower …

Persistent link: https://www.econbiz.de/10005246492