Statistics and data analysis for microarrays using R and bioconductor
Drăghici, Sorin
Statistics and data analysis for microarrays using R and bioconductor - 2nd ed. - Boca Raton CRC Press 2012 - xlviii, 1042 p. 25 cm. 1CD-ROM - Mathematical and Computational Biology Series .
"Richly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition provides a clear and rigorous description of powerful analysis techniques and algorithms for mining and interpreting biological information. Omitting tedious details, heavy formalisms, and cryptic notations, the text takes a hands-on, example-based approach that teaches students the basics of R and
The Cell and Its Basic Mechanisms --
Microarrays --
Reliability and Reproducibility Issues in DNA Microarray Measurements --
Image Processing --
Introduction to R --
Bioconductor: Principles and Illustrations --
Elements of Statistics --
Probability Distributions --
Basic Statistics in R --
Statistical Hypothesis Testing --
Classical Approaches to Data Analysis --
Analysis of Variance (ANOVA) --
Linear Models in R --
Experiment Design --
Multiple Comparisons --
Analysis and Visualization Tools --
Cluster Analysis --
Quality Control --
Data Pre-Processing and Normalization. Methods for Selecting Differentially Regulated Genes --
The Gene Ontology (GO) --
Functional Analysis and Biological Interpretation of Microarray Data --
Uses, Misuses, and Abuses in GO Profiling --
A Comparison of Several Tools for Ontological Analysis --
Focused Microarrays --
Comparison and Selection --
ID Mapping Issues --
Pathway Analysis --
Machine Learning Techniques
9781439809754
Bioconductor (Computer file)
DNA microarrays--Statistical methods..
Mathematical statistics--Data processing.
R (Computer program language)
SCIENCE / Biotechnology.
MATHEMATICS / Probability & Statistics / General.
SCIENCE / Life Sciences / Biology / General.
572.8636 / DRA
Statistics and data analysis for microarrays using R and bioconductor - 2nd ed. - Boca Raton CRC Press 2012 - xlviii, 1042 p. 25 cm. 1CD-ROM - Mathematical and Computational Biology Series .
"Richly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition provides a clear and rigorous description of powerful analysis techniques and algorithms for mining and interpreting biological information. Omitting tedious details, heavy formalisms, and cryptic notations, the text takes a hands-on, example-based approach that teaches students the basics of R and
The Cell and Its Basic Mechanisms --
Microarrays --
Reliability and Reproducibility Issues in DNA Microarray Measurements --
Image Processing --
Introduction to R --
Bioconductor: Principles and Illustrations --
Elements of Statistics --
Probability Distributions --
Basic Statistics in R --
Statistical Hypothesis Testing --
Classical Approaches to Data Analysis --
Analysis of Variance (ANOVA) --
Linear Models in R --
Experiment Design --
Multiple Comparisons --
Analysis and Visualization Tools --
Cluster Analysis --
Quality Control --
Data Pre-Processing and Normalization. Methods for Selecting Differentially Regulated Genes --
The Gene Ontology (GO) --
Functional Analysis and Biological Interpretation of Microarray Data --
Uses, Misuses, and Abuses in GO Profiling --
A Comparison of Several Tools for Ontological Analysis --
Focused Microarrays --
Comparison and Selection --
ID Mapping Issues --
Pathway Analysis --
Machine Learning Techniques
9781439809754
Bioconductor (Computer file)
DNA microarrays--Statistical methods..
Mathematical statistics--Data processing.
R (Computer program language)
SCIENCE / Biotechnology.
MATHEMATICS / Probability & Statistics / General.
SCIENCE / Life Sciences / Biology / General.
572.8636 / DRA