Search Results - subject:"microarray"

Bayesian model-based tight clustering for time course data

Joo, Yongsung; Casella, George; Hobert, James - In: Computational Statistics 25 (2010) 1, pp. 17-38

Persistent link: https://www.econbiz.de/10008596088

Modeling the Human Genome Maintenance network

Simão, Éder M.; Cabral, Heleno B.; Castro, Mauro A.A.; … - In: Physica A: Statistical Mechanics and its Applications 389 (2010) 19, pp. 4188-4194

microarray study of adenoma to identify the regions of the network that are highly altered. In the last application we present …

Persistent link: https://www.econbiz.de/10011062311

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

A Nonlinear Mixed-Effects Model for Estimating Calibration Intervals for Unknown Concentrations in Two-Color Microarray Data with Spike-Ins

Thilakarathne, Pushpike; Verbeke, Geert; Engelen, Kristof; … - In: Statistical Applications in Genetics and Molecular Biology 8 (2009) 1, pp. 5-5

In this study, we propose a calibration method for preprocessing spiked-in microarray experiments based on nonlinear … intervals for two publicly available cDNA microarray experiments (Hilson et al., 2004; Smets et al., 2008). This method can … easily be adapted to preprocess one-color oligonucleotide microarray data with a slight adjustment to the mixed model. …

Persistent link: https://www.econbiz.de/10005585055

Empirical Bayes analysis of unreplicated microarray data

Cho, HyungJun; Kang, Jaewoo; Lee, Jae - In: Computational Statistics 24 (2009) 3, pp. 393-408

Persistent link: https://www.econbiz.de/10005029238

Extensions of Sparse Canonical Correlation Analysis with Applications to Genomic Data

Witten, Daniela; Tibshirani, Robert - In: Statistical Applications in Genetics and Molecular Biology 8 (2009) 1, pp. 28-28

In recent work, several authors have introduced methods for sparse canonical correlation analysis (sparse CCA). Suppose that two sets of measurements are available on the same set of observations. Sparse CCA is a method for identifying sparse linear combinations of the two sets of variables that...

Persistent link: https://www.econbiz.de/10005046571

A Multivariate Growth Curve Model for Ranking Genes in Replicated Time Course Microarray Data

Hamid, Jemila; Beyene, Joseph - In: Statistical Applications in Genetics and Molecular Biology 8 (2009) 1, pp. 33-33

Gene ranking problem in time course microarray experiments is challenging since gene expression levels between … estimating mean gene expression profiles in replicated time course microarray data. The approach takes the within individual … publicly available real time course microarray data. …

Persistent link: https://www.econbiz.de/10005046572

Rotation Testing in Gene Set Enrichment Analysis for Small Direct Comparison Experiments

Dørum, Guro; Snipen, Lars; Solheim, Margrete; Sæbø, Solve - In: Statistical Applications in Genetics and Molecular Biology 8 (2009) 1, pp. 34-34

Gene Set Enrichment Analysis (GSEA) is a method for analysing gene expression data with a focus on a priori defined gene sets. The permutation test generally used in GSEA for testing the significance of gene set enrichment involves permutation of a phenotype vector and is developed for data from...

Persistent link: https://www.econbiz.de/10005046584

Correcting the Estimated Level of Differential Expression for Gene Selection Bias: Application to a Microarray Study

Bickel, David - In: Statistical Applications in Genetics and Molecular Biology 7 (2009) 1, pp. 10-10

the level of differential gene expression. In a microarray data set, the bias correction reduces estimates of the …

Persistent link: https://www.econbiz.de/10005046588

Modelling and Assessing Differential Gene Expression Using the Alpha Stable Distribution

Salas-Gonzalez, Diego; Kuruoglu, Ercan; Ruiz, Diego - In: International Journal of Biostatistics 5 (2009) 1, pp. 1120-1120

After normalization, the distribution of gene expressions for very different organisms have a similar shape, usually exhibit heavier tails than a Gaussian distribution, and have a certain degree of asymmetry. Therefore, this distribution has been modeled in the literature using different...

Persistent link: https://www.econbiz.de/10005046667