statistics data analysis microarrays de draghici sorin (19 resultados)

Hardcover. Condición: 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.

Condición: 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.

Hardcover. Condición: 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.

hardcover. Condición: Good. Ex-library copy with usual markings, text is unmarked, includes disc.

Hardcover. Condición: 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!

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New. In.

Condición: As New. Unread book in perfect condition.

Condición: New.

Hardcover. Condición: Brand New. 2nd edition. 1036 pages. 9.30x6.30x1.90 inches. In Stock.

Condición: New. 2011. 2nd Edition. Hardcover. Replaces the commercial software with the open source R computing environment. This title contains chapters on cutting-edge microarray topics and provides the R code on an accompanying CD-ROM. It bridges the gap between an introduction to data analysis and advanced material for performing data analysis. Series: Chapman & Hall/CRC Mathematical & Computational Biology. Num Pages: 1036 pages, 344 black & white illustrations, 24 black & white tables. BIC Classification: PSAK1; UNC. Category: (P) Professional & Vocational. Dimension: 242 x 164 x 51. Weight in Grams: 1984. . . . . .

Gebunden. Condición: New. Sorin Draghici 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,.

Buch. Condición: Neu. Neuware - Richly illustrated in color, this bestselling text 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 explains the basics of R and micr.

Condición: New. 2011. 2nd Edition. Hardcover. Replaces the commercial software with the open source R computing environment. This title contains chapters on cutting-edge microarray topics and provides the R code on an accompanying CD-ROM. It bridges the gap between an introduction to data analysis and advanced material for performing data analysis. Series: Chapman & Hall/CRC Mathematical & Computational Biology. Num Pages: 1036 pages, 344 black & white illustrations, 24 black & white tables. BIC Classification: PSAK1; UNC. Category: (P) Professional & Vocational. Dimension: 242 x 164 x 51. Weight in Grams: 1984. . . . . . Books ship from the US and Ireland.

Condición: New. pp. 1042 2nd Edition.

Condición: New. pp. 1042.

Condición: New. pp. 1042 200+ This item is printed on demand.