Del i serien Methods in Molecular Biology

Statistical Methods for Microarray Data Analysis

Methods and Protocols

Häftad, Engelska, 2016

AvAndrei Y. Yakovlev,Lev Klebanov,Daniel Gaile

2 199 kr

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In Statistical Methods for Microarray Data Analysis: Methods and Protocols, expert researchers in the field detail many methods and techniques used to study microarrays, guiding the reader from microarray technology to statistical problems of specific multivariate data analysis.

Produktinformation

Utgivningsdatum2016-08-23
Mått178 x 254 x undefined mm
FormatHäftad
SpråkEngelska
SerieMethods in Molecular Biology
Antal sidor212
FörlagHumana Press Inc.
ISBN9781493950799

Tillhör följande kategorier

Medicinsk genetik inom Medicin
Biovetenskap inom Naturvetenskap och teknik

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.

“This book covers a broad range of topics, from the normalization of expression levels to the evaluation of experimental noise or the identification of putative networks through either multivariate analysis approach or clustering. … It is therefore appropriate for research students and post-docs as well as lecturers looking for handson examples.” (Irina Ioana Mohorianu, zbMATH 1312.92006, 2015)