Items related to Statistics and Data Analysis for Microarrays Using...
Statistics and Data Analysis for Microarrays Using R and Bioconductor (Chapman & Hall/CRC Computational Biology Series) - Hardcover
Synopsis
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 microarray technology as well as how to choose and apply the proper data analysis tool to specific problems.
New to the Second Edition
Completely updated and double the size of its predecessor, this timely second edition replaces the commercial software with the open source R and Bioconductor environments. Fourteen new chapters cover such topics as the basic mechanisms of the cell, reliability and reproducibility issues in DNA microarrays, basic statistics and linear models in R, experiment design, multiple comparisons, quality control, data pre-processing and normalization, Gene Ontology analysis, pathway analysis, and machine learning techniques. Methods are illustrated with toy examples and real data and the R code for all routines is available on an accompanying CD-ROM.
With all the necessary prerequisites included, this best-selling book guides students from very basic notions to advanced analysis techniques in R and Bioconductor. The first half of the text presents an overview of microarrays and the statistical elements that form the building blocks of any data analysis. The second half introduces the techniques most commonly used in the analysis of microarray data.
"synopsis" may belong to another edition of this title.
Review
Praise for the First Edition
The book by Draghici is an excellent choice to be used as a textbook for a graduate-level bioinformatics course. This well-written book with two accompanying CD-ROMs will create much-needed enthusiasm among statisticians.
―Journal of Statistical Computation and Simulation, Vol. 74
I really like Draghici's book. As the author explains in the Preface, the book is intended to serve both the statistician who knows very little about DNA microarrays and the biologist who has no expertise in data analysis. The author lays out a study plan for the statistician that excludes 5 of the 17 chapters (4-8). These chapters present the basics of statistical distributions, estimation, hypothesis testing, ANOVA, and experimental design. What that leaves for the statistician is the three-chapter primer on microarrays and image processing, plus all of the data analysis tools specific to the microarray situation. ... it includes two CDs with trial versions of several specialised software packages. Anyone who uses microarray data should certainly own a copy.
―Technometrics, Vol. 47, No. 1, February 2005
About the Author
Sorin Drăghici the Robert J. Sokol MD Endowed Chair in Systems Biology in the Department of Obstetrics and Gynecology, professor in the Department of Clinical and Translational Science and Department of Computer Science, and head of the Intelligent Systems and Bioinformatics Laboratory at Wayne State University. He is also the chief of the Bioinformatics and Data Analysis Section in the Perinatology Research Branch of the National Institute for Child Health and Development. A senior member of IEEE, Dr. Drăghici is an editor of IEEE/ACM Transactions on Computational Biology and Bioinformatics, Journal of Biomedicine and Biotechnology, and International Journal of Functional Informatics and Personalized Medicine. He earned a Ph.D. in computer science from the University of St. Andrews.
"About this title" may belong to another edition of this title.
- PublisherChapman and Hall/CRC
- Publication date2011
- ISBN 10 1439809755
- ISBN 13 9781439809754
- BindingHardcover
- LanguageEnglish
- Edition number2
- Number of pages1036
Search results for Statistics and Data Analysis for Microarrays Using...
Stock Image
Statistics and Data Analysis for Microarrays Using R and Bioconductor
Seller: Better World Books Ltd, Dunfermline, United Kingdom
Seller rating 5 out of 5 stars
Condition: Very Good. Ships from the UK. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects. Seller Inventory # 50269830-20
Quantity: 1 available
Seller Image
Statistics and Data Analysis for Microarrays Using R and Bioconductor (Chapman & Hall/CRC Computational Biology Series): Second Edition
Seller: killarneybooks, Inagh, CLARE, Ireland
Seller rating 5 out of 5 stars
Hardcover. Condition: Very Good. 2nd Edition. Oversized hardcover, weight 2kg (please note: extra shipping may be required), xlviii + 1042 pages, NOT ex-library. Unused CD-ROM still sealed in rear pocket. Book is clean and bright throughout with unmarked text, free of inscriptions and stamps, firmly bound. Gentle wear to tips of outer corners of a portion of leaves. Boards show short creases to corners, small indentations. Issued without a dust jacket. -- Contents: 1 Introduction [Bioinformatics: an emerging discipline] 2 Cell and its basic mechanisms [The cell; Building blocks of genomic information; Expression of genetic information; Need for high-throughput methods] 3 Microarrays [Microarrays: tools for gene expression analysis; Fabrication & Applications of microarrays; Challenges in using microarrays in gene expression studies; Sources of variability] 4 Reliability and reproducibility issues in DNA microarray measurements [What is expected from microarrays?; Basic considerations of microarray measurements; Sensitivity; Accuracy; Reproducibility; Cross-platform consistency; Sources of inaccuracy and inconsistencies in microarray measurements; MicroArray Quality Control (MAQC) project] 5 Image processing [Basic elements of digital imaging; Microarray image processing; Image processing of cDNA microarrays & Affymetrix arrays] 6 Introduction to R [Basic concepts; Data structures and functions; Other capabilities; R environment; Installing Bioconductor; Graphics; Control structures in R; Programming in R vs C/C++/Java; Summary; Solved Exercises; Exercises] 7 Bioconductor: principles and illustrations [Overview; Portal; Some explorations and analyses] 8 Elements of statistics [Some basic concepts; Elementary statistics; Degrees of freedom; Probabilities; Bayes' theorem; Testing for (or predicting) a disease; Solved problems; Exercises] 9 Probability distributions 10 Basic statistics in R [Descriptive statistics in R; Probabilities and distributions in R; Central limit theorem; Exercises] 11 Statistical hypothesis testing [Framework; Hypothesis testing and significance; 'I do not believe God does not exist'; An algorithm for hypothesis testing; Errors in hypothesis testing; Solved problems] 12 Classical approaches to data analysis [Tests involving a single sample & two samples; Exercises] 13 Analysis of Variance - ANOVA [One- & Two-way ANOVA; Quality control; Exercises] 14 Linear models in R 15 Experiment design 16 Multiple comparisons 17 Analysis and visualization tools [Box plots; Gene pies; Scatter plots; Volcano plots; Histograms; Time series; Time series plots in R; Principal component analysis (PCA); Independent component analysis (ICA)] 18 Cluster analysis 19 Quality control 20 Data preprocessing and normalization 21 Methods for selecting differentially expressed genes 22 Gene Ontology (GO) 23 Functional analysis and biological interpretation of microarray data 24 Uses, misuses, and abuses in GO profiling 25 A comparison of several tools for ontological analysis 26 Focused microarrays - comparison and selection 27 ID Mapping issues 28 Pathway analysis [Introduction; Terms and problem definition; Over-representation and functional class scoring approaches in pathway analysis; An approach for the analysis of metabolic pathways; An impact analysis of signaling pathways; Variations on the impact analysis theme; Pathway Guide; Kinetic models versus impact analysis; Conclusions; Data sets and software availability] 29 Machine learning techniques [Introduction; Main concepts and definitions; Supervised learning; Practicalities using R] 30 The road ahead [What next?]; Bibliography; Index. Seller Inventory # 007343
Quantity: 1 available
Stock Image
Statistics and Data Analysis for Microarrays Using R and Bioconductor (Chapman & Hall/CRC Computational Biology Series)
Seller: Anybook.com, Lincoln, United Kingdom
Seller rating 5 out of 5 stars
Condition: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,2050grams, ISBN:9781439809754. Seller Inventory # 9794497
Quantity: 1 available
Stock Image
Statistics and Data Analysis for Microarrays Using R and Bioconductor (Chapman & Hall/CRC Computational Biology Series)
Seller: Tim's Used Books Provincetown Mass., Provincetown, MA, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: Very Good. 2nd Edition. With sealed CD. No marks in text. Not a library book. Ships in a cardboard enclosure. Thank you, from Tim's Used Books, open shop in Provincetown USA; buyers and sellers of good books at fair prices on the same spot since 1991. Seller Inventory # 2492004
Quantity: 1 available
Stock Image
Statistics and Data Analysis for Microarrays Using R and Bioconductor (Chapman & Hall/CRC Computational Biology Series)
Seller: McCord Books, NORWALK, IA, U.S.A.
Seller rating 5 out of 5 stars
hardcover. Condition: Good. Ex-library copy with usual markings, text is unmarked, includes disc. Seller Inventory # 241013006
Quantity: 1 available
Seller Image
Statistics and Data Analysis for Microarrays Using R and Bioconductor
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 9634808-n
Quantity: 10 available
Stock Image
STATISTICS & DATA ANALYSIS FOR MICROARRA
Seller: Speedyhen, London, United Kingdom
Seller rating 5 out of 5 stars
Condition: NEW. Seller Inventory # NW9781439809754
Quantity: 1 available
Stock Image
Statistics and Data Analysis for Microarrays Using R and Bioconductor (Chapman & Hall/CRC Computational Biology Series)
Seller: HPB-Red, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_408315100
Quantity: 1 available
Stock Image
Statistics and Data Analysis for Microarrays Using R and Bioconductor (Chapman & Hall/CRC Computational Biology Series)
Seller: DeckleEdge LLC, Albuquerque, NM, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. Seller Inventory # Shelfdream1439809755
Quantity: 1 available
Stock Image
Statistics and Data Analysis for Microarrays Using R and Bioconductor (Chapman Hall/CRC Computational Biology Series)
Seller: Goodwill of Colorado, COLORADO SPRINGS, CO, U.S.A.
Seller rating 5 out of 5 stars
Condition: Acceptable. This item is in overall acceptable condition. Covers and dust jackets are intact but may have heavy wear including creases, bends, edge wear, curled corners or minor tears as well as stickers or sticker-residue. Pages are intact but may have minor curls, bends or moderate to considerable highlighting/ writing. Binding is intact; however, spine may have heavy wear. Digital codes may not be included and have not been tested to be redeemable and/or active. A well-read copy overall. Please note that all items are donated goods and are in used condition. Orders shipped Monday through Friday! Your purchase helps put people to work and learn life skills to reach their full potential. Orders shipped Monday through Friday. Your purchase helps put people to work and learn life skills to reach their full potential. Thank you! Seller Inventory # 466SGT001FNJ
Quantity: 1 available