Similar Search Results

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

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

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

Transcriptional modulation of the developing immune system by early life social adversity

Cole, Steven W.; Conti, Gabriella; Arevalo, Jesusa M.; … - 2012

To identify molecular mechanisms by which early life social conditions might influence adult risk of disease in rhesus macaques (Macaca mulatta), we analyze changes in basal leukocyte gene expression profiles in 4-month-old animals reared under adverse social conditions. Compared to the basal...

Persistent link: https://www.econbiz.de/10010289875

Covariate adjustment in the analysis of microarray data from clinical studies

Ghosh, Debashis; Chinnaiyan, Arul - Berkeley Electronic Press - 2004

microarray data in nonrandomized clinical settings. The first is an extension of the current significance analysis of microarray …

Persistent link: https://www.econbiz.de/10005458805

Semiparametric methods for identification of tumor progression genes from microarray data

Ghosh, Debashis; Chinnaiyan, Arul - Berkeley Electronic Press - 2004

The use of microarray data has become quite commonplace in medical and scientific experiments. We focus here on … microarray data generated from cancer studies. It is potentially important for the discovery of biomarkers to identify genes …

Persistent link: https://www.econbiz.de/10005458806

The false discovery rate: a variable selection perspective

Ghosh, Debashis; Chen, Wei; Raghuanthan, Trivellore - Berkeley Electronic Press - 2004

In many scientific and medical settings, large-scale experiments are generating large quantities of data that lead to inferential problems involving multiple hypotheses. This has led to recent tremendous interest in statistical methods regarding the false discovery rate (FDR). Several authors...

Persistent link: https://www.econbiz.de/10005458807