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Incorporation of gene exchangeabilities improves the reproducibility of gene set rankings

Soneson, Charlotte; Fontes, Magnus - In: Computational Statistics & Data Analysis 71 (2014) C, pp. 588-598

Gene set-based analysis methods have recently gained increasing popularity for analysis of microarray data. Several …

Persistent link: https://www.econbiz.de/10010719679

Empirical study for the agreement between statistical methods in quality assessment and control of microarray data

Schmidberger, Markus; Vicedo, Esmeralda; Mansmann, Ulrich - In: Computational Statistics 26 (2011) 2, pp. 259-277

Persistent link: https://www.econbiz.de/10009149755

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

Identification of Candidate Genes Responsible for Age-related Macular Degeneration using Microarray Data

Hao, Yuhan; Weiss, Gary M.; Brown, Stuart M - In: International Journal of Service Science, Management, … 9 (2018) 2, pp. 33-60

A DNA microarray can measure the expression of thousands of genes simultaneously, and this enables us to study the … selection algorithms to the AMD microarray dataset. In this paper four methods are utilized to perform feature selection: Naïve … Bayes, Random Forest, Random Lasso, and Ensemble Feature Selection. Functional Annotation of 20 final selected genes …

Persistent link: https://www.econbiz.de/10012048138

Optimization-Based Model Fitting for Latent Class and Latent Profile Analyses

Huang, Guan-Hua; Wang, Su-Mei; Hsu, Chung-Chu - In: Psychometrika 76 (2011) 4, pp. 584-611

Persistent link: https://www.econbiz.de/10009400064

Estimating Number of Clusters Based on a General Similarity Matrix with Application to Microarray Data

Fallah, Shafagh; Tritchler, David; Beyene, Joseph - In: Statistical Applications in Genetics and Molecular Biology 7 (2008) 1, pp. 24-24

Many clustering methods require that the number of clusters believed present in a given data set be specified a priori, and a number of methods for estimating the number of clusters have been developed. However, the selection of the number of clusters is well recognized as a difficult and open...

Persistent link: https://www.econbiz.de/10005752547

Evaluation of Multiple Models to Distinguish Closely Related Forms of Disease Using DNA Microarray Data: an Application to Multiple Myeloma

Hardin, Johanna; Waddell, Michael; Page, C. David; … - In: Statistical Applications in Genetics and Molecular Biology 3 (2007) 1, pp. 10-10

themselves in altered gene expression patterns in the clonally related cancer cells. Microarray technology allows for qualitative … expression of 12,000 genes derived from a high density oligonucleotide microarray analysis of highly purified plasma cells from …

Persistent link: https://www.econbiz.de/10005752563

How to Reconstruct a Large Genetic Network from

Steps, How to Reconstruct a Large Genetic Network from … - Santa Fe Institute - 2001

n Gene Perturbations in Fewer than n2 Easy Steps [gzipped postscript] [postscript] [pdf] Andreas Wagner I present an algorithm to reconstruct direct regulatory interactions in gene networks from the effects of genetic perturbations on gene activity. Genomic technology has made feasible...

Persistent link: https://www.econbiz.de/10005790717

Loss-Based Estimation with Cross-Validation: Applications to Microarray Data Analysis and Motif Finding

Dudoit, Sandrine; Laan, Mark van der; Keles, Sunduz; … - Berkeley Electronic Press - 2004

in genomic data analysis: the prediction of biological and clinical outcomes (possibly censored) using microarray gene …

Persistent link: https://www.econbiz.de/10005459073

A Statistical Method for Constructing Transcriptional Regulatory Networks Using Gene Expression and Sequence Data

Xing, Biao; Laan, Mark van der - Berkeley Electronic Press - 2004

analysis based on 658 microarray experiments on yeast gene expression programs and 46 transcription factors suggests that the …

Persistent link: https://www.econbiz.de/10005459077