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Orthology-Based Multilevel Modeling of Differentially Expressed Mouse and Human Gene Pairs

Ogorek, Benjamin; Stefanski, Leonard - In: Statistical Applications in Genetics and Molecular Biology 8 (2009) 1, pp. 2-2

There is great interest in finding human genes expressed through pharmaceutical intervention, thus opening a genomic window into benefit and side-effect profiles of a drug. Human insight gained from FDA-required animal experiments has historically been limited, but in the case of gene expression...

Persistent link: https://www.econbiz.de/10005585054

Calculating the Statistical Significance of Changes in Pathway Activity From Gene Expression Data

JÃÂ¶rg RahnenfÃÂ¼hrer; Domingues, Francisco; … - In: Statistical Applications in Genetics and Molecular Biology 3 (2007) 1, pp. 16-16

findings from microarray experiments.Recently introduced methods test if members of predefined gene sets are enriched in a list … of top-ranked genes in a microarray study. We improve this approach by defining scores that depend on all members of the …

Persistent link: https://www.econbiz.de/10005585090

Statistical Significance Threshold Criteria For Analysis of Microarray Gene Expression Data

Cheng, Cheng; Pounds, Stanley; Boyett, James; Pei, Deqing; … - In: Statistical Applications in Genetics and Molecular Biology 3 (2007) 1, pp. 36-36

The methodological advancement in microarray data analysis on the basis of false discovery rate (FDR) control, such as …

Persistent link: https://www.econbiz.de/10005752555

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

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

Nonparametric methods for analyzing replication origins in genomewide data

Ghosh, Debashis - Berkeley Electronic Press - 2004

Due to the advent of high-throughput genomic technology, it has become possible to globally monitor cellular activities on a genomewide basis. With these new methods, scientists can begin to address important biological questions. One such question involves the identification of replication...

Persistent link: https://www.econbiz.de/10005246062

Self-Organizing Maps with Statistical Phase Synchronization (SOMPS) for Analyzing Cell Cycle-Specific Gene Expression Data

Kim, Chang Sik - In: Statistical Applications in Genetics and Molecular Biology 7 (2008) 1, pp. 1-1

Based on previous studies related to the yeast cell cycle, it is well known that the underlying cellular network in yeast consists of many interactions between genes that have periodic expression patterns during the cell division cycle. In this study, it is proposed that cell cycle-specific gene...

Persistent link: https://www.econbiz.de/10005585050

Dimension Reduction for Classification with Gene Expression Microarray Data

Dai, Jian; Lieu, Linh; Rocke, David - In: Statistical Applications in Genetics and Molecular Biology 5 (2007) 1, pp. 6-6

An important application of gene expression microarray data is classification of biological samples or prediction of …

Persistent link: https://www.econbiz.de/10005585085

Treating Expression Levels of Different Genes as a Sample in Microarray Data Analysis: Is it Worth a Risk?

Klebanov, Lev; Yakovlev, Andrei - In: Statistical Applications in Genetics and Molecular Biology 5 (2007) 1, pp. 9-9

One of the prevailing ideas in the literature on microarray data analysis is to pool the expression measures across … dependence represents a very serious pitfall in microarray data analysis. …

Persistent link: https://www.econbiz.de/10005585102

Error-Rate and Decision-Theoretic Methods of Multiple Testing: Which Genes Have High Objective Probabilities of Differential Expression?

Bickel, David - In: Statistical Applications in Genetics and Molecular Biology 3 (2007) 1, pp. 8-8

Given a multiple testing situation, the null hypotheses that appear to have sufficiently low probabilities of truth may be rejected using a simple, nonparametric method based on decision theory. This applies not only to posterior levels of belief, but also to conditional probabilities in the...

Persistent link: https://www.econbiz.de/10005752554