Statistical Methods for Microarray Data Analysis : Methods and Protocols - Yakovlev, Andrei Y.; Klebanov, Lev.; Gaile, Daniel; SpringerLink (Online service) (New York, NY : Springer New York : Imprint: Humana, 2013)
What Statisticians Should Know About Microarray Gene Expression Technology -- Where Statistics and Molecular Microarray Experiments Biology Meet -- Multiple Hypothesis Testing: A Methodological Overview -- Gene Selection with the d-sequence Method -- Using of Normalizations for Gene Expression Analysis -- Constructing Multivariate Prognostic Gene Signatures with Censored Survival Data -- Clustering of Gene-Expression Data via Normal Mixture Models -- Network-based Analysis of Multivariate Gene Expression Data -- Genomic Outlier Detection in High-throughput Data Analysis -- Impact of Experimental Noise and Annotation Imprecision on Data Quality in Microarray Experiment -- Aggregation Effect in Microarray Data Analysis -- Test for Normality of the Gene Expression Data.
Keywords: Human genetics; Microarrays; Human Genetics; Microarrays