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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

Bayesian Hierarchical Model for Correcting Signal Saturation in Microarrays Using Pixel Intensities

Gupta, Rashi; Auvinen, Petri; Thomas, Andrew; Arjas, Elja - In: Statistical Applications in Genetics and Molecular Biology 5 (2007) 1, pp. 20-20

expression (i.e., intensity) to be biased. Microarray experiments are commonly affected by saturated pixels; as a result all …

Persistent link: https://www.econbiz.de/10005246495

PLS Dimension Reduction for Classification with Microarray Data

Boulesteix, Anne-Laure - In: Statistical Applications in Genetics and Molecular Biology 3 (2007) 1, pp. 33-33

classification with high-dimensional microarray data. In this paper, the classification procedure consisting of PLS dimension … used for data visualization using real data. The whole study is based on 9 real microarray cancer data sets. …

Persistent link: https://www.econbiz.de/10005246497

A Bayesian Analysis Strategy for Cross-Study Translation of Gene Expression Biomarkers

Lucas, Joseph; Carvalho, Carlos; West, Mike - In: Statistical Applications in Genetics and Molecular Biology 8 (2009) 1, pp. 11-11

We describe a strategy for the analysis of experimentally derived gene expression signatures and their translation to human observational data. Sparse multivariate regression models are used to identify expression signature gene sets representing downstream biological pathway events following...

Persistent link: https://www.econbiz.de/10005246499

Comparison of the empirical bayes and the significance analysis of microarrays

Schwender, Holger; Krause, Andreas; Ickstadt, Katja - Institut für Wirtschafts- und Sozialstatistik, … - 2003

Microarrays enable to measure the expression levels of tens of thousands of genes simultaneously. One important statistical question in such experiments is which of the several thousand genes are differentially expressed. Answering this question requires methods that can deal with multiple...

Persistent link: https://www.econbiz.de/10009295199

Using game theory to detect genes involved in Autism Spectrum Disorder

Esteban, Francisco; Wall, Dennis - In: TOP: An Official Journal of the Spanish Society of … 19 (2011) 1, pp. 121-129

Persistent link: https://www.econbiz.de/10009324626

Assessment of cell number for a multinomial distribution with application to genomic data

Li, Qizhai; Li, Guoying; Xiong, Shifeng - In: Metrika 71 (2010) 2, pp. 151-164

Persistent link: https://www.econbiz.de/10008591068

Identification of breast cancer prognosis markers via integrative analysis

Ma, Shuangge; Dai, Ying; Huang, Jian; Xie, Yang - In: Computational Statistics & Data Analysis 56 (2012) 9, pp. 2718-2728

In breast cancer research, it is of great interest to identify genomic markers associated with prognosis. Multiple gene profiling studies have been conducted for such a purpose. Genomic markers identified from the analysis of single datasets often do not have satisfactory reproducibility. Among...

Persistent link: https://www.econbiz.de/10010871455

EDGE-WEIGHTING OF GENE EXPRESSION GRAPHS

KERR, GRAINNE; PERRIN, DIMITRI; RUSKIN, HEATHER J.; … - In: Advances in Complex Systems (ACS) 13 (2010) 02, pp. 217-238

In recent years, considerable research efforts have been directed to micro-array technologies and their role in …

Persistent link: https://www.econbiz.de/10008513329

MANIA: A GENE NETWORK REVERSE ALGORITHM FOR COMPOUNDS MODE-OF-ACTION AND GENES INTERACTIONS INFERENCE

LAI, DARONG; LU, HONGTAO; LAURIA, MARIO; BERNARDO, DIGEO DI - In: Advances in Complex Systems (ACS) 13 (2010) 01, pp. 83-94

Understanding the complexity of the cellular machinery represents a grand challenge in molecular biology. To contribute to the deconvolution of this complexity, a novel inference algorithm based on linear ordinary differential equations is proposed, based solely on high-throughput gene...

Persistent link: https://www.econbiz.de/10008472629