Data mining for genomics and proteomics : (Record no. 16513)

MARC details
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fixed length control field 11726cam a2200445 a 4500
001 - CONTROL NUMBER
control field 7905376
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20120907124301.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100104s2010 njuaf b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2009052129
015 ## - NATIONAL BIBLIOGRAPHY NUMBER
National bibliography number GBB001925
Source bnb
016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER
Record control number 015455186
Source Uk
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780470163733 (cloth)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0470163739 (cloth)
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)ocn460048996
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)460048996
035 ## - SYSTEM CONTROL NUMBER
System control number (NNC)7905376
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Transcribing agency DLC
Modifying agency BTCTA
-- YDXCP
-- C#P
-- BWX
-- UKM
-- NNC-M
-- OrLoB-B
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QH441.2
Item number .D98 2010
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 572.86/DZI
Edition number 22
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Dziuda, Darius M.
245 10 - TITLE STATEMENT
Title Data mining for genomics and proteomics :
Remainder of title analysis of gene and protein expression data
Statement of responsibility, etc Darius M. Dzuida.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Hoboken, N.J. :
Name of publisher, distributor, etc Wiley,
Date of publication, distribution, etc c2010.
300 ## - PHYSICAL DESCRIPTION
Extent xvii, 319 p., [8] p. of plates :
Other physical details ill. (some col.) ;
Dimensions 25 cm.
490 1# - SERIES STATEMENT
Series statement Wiley series on methods and applications in data mining
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
505 00 - FORMATTED CONTENTS NOTE
Miscellaneous information 1.
Title Introduction --
Miscellaneous information 1.1.
Title Basic Terminology --
Miscellaneous information 1.1.1.
Title The Central Dogma of Molecular Biology --
Miscellaneous information 1.1.2.
Title Genome --
Miscellaneous information 1.1.3.
Title Proteome --
Miscellaneous information 1.1.4.
Title DNA (Deoxyribonucleic Acid) --
Miscellaneous information 1.1.5.
Title RNA (Ribonucleic Acid) --
Miscellaneous information 1.1.6.
Title mRNA (messenger RNA) --
Miscellaneous information 1.1.7.
Title Genetic Code --
Miscellaneous information 1.1.8.
Title Gene --
Miscellaneous information 1.1.9.
Title Gene Expression and the Gene Expression Level --
Miscellaneous information 1.1.10.
Title Protein --
Miscellaneous information 1.2.
Title Overlapping Areas of Research --
Miscellaneous information 1.2.1.
Title Genomics --
Miscellaneous information 1.2.2.
Title Proteomics --
Miscellaneous information 1.2.3.
Title Bioinformatics --
Miscellaneous information 1.2.4.
Title Transcriptomics and Other-omics --
Miscellaneous information 1.2.5.
Title Data Mining --
Miscellaneous information 2.
Title Basic Analysis Of Gene Expression Microarray Data --
Miscellaneous information 2.1.
Title Introduction --
Miscellaneous information 2.2.
Title Microarray Technology --
Miscellaneous information 2.2.1.
Title Spotted Microarrays --
Miscellaneous information 2.2.2.
Title Affymetrix GeneChip ® Microarrays --
Miscellaneous information 2.2.3.
Title Bead-Based Microarrays --
Miscellaneous information 2.3.
Title Low-Level Preprocessing of Affymetrix Microarrays --
Miscellaneous information 2.3.1.
Title MASS --
Miscellaneous information 2.3.2.
Title RMA --
Miscellaneous information 2.3.3.
Title GCRMA --
Miscellaneous information 2.3.4.
Title PLIER --
Miscellaneous information 2.4.
Title Public Repositories of Microarray Data --
Miscellaneous information 2.4.1.
Title Microarray Gene Expression Data Society (MGED) Standards --
Miscellaneous information 2.4.2.
Title Public Databases --
Miscellaneous information 2.4.2.1.
Title Gene Expression Omnibus (GEO) --
Miscellaneous information 2.4.2.2.
Title ArrayExpress --
Miscellaneous information 2.5.
Title Gene Expression Matrix --
Miscellaneous information 2.5.1.
Title Elements of Gene Expression Microarray Data Analysis --
Miscellaneous information 2.6.
Title Additional Preprocessing, Quality Assessment, and Filtering --
Miscellaneous information 2.6.1.
Title Quality Assessment --
Miscellaneous information 2.6.2.
Title Filtering --
Miscellaneous information 2.7.
Title Basic Exploratory Data Analysis --
Miscellaneous information 2.7.1.
Title t Test --
Miscellaneous information 2.7.1.1.
Title t Test for Equal Variances --
Miscellaneous information 2.7.1.2.
Title t Test for Unequal Variances --
Miscellaneous information 2.7.2.
Title ANOVA F Test --
Miscellaneous information 2.7.3.
Title SAM t Statistic --
Miscellaneous information 2.7.4.
Title Limma --
Miscellaneous information 2.7.5.
Title Adjustment for Multiple Comparisons --
Miscellaneous information 2.7.5.1.
Title Single-Step Bonferroni Procedure --
Miscellaneous information 2.7.5.2.
Title Single-Step Sidak Procedure --
Miscellaneous information 2.7.5.3.
Title Step-Down Holm Procedure --
Miscellaneous information 2.7.5.4.
Title Step-Up Benjamini and Hochberg Procedure --
Miscellaneous information 2.7.5.5.
Title Permutation Based Multiplicity Adjustment --
Miscellaneous information 2.8.
Title Unsupervised Learning (Taxonomy-Related Analysis) --
Miscellaneous information 2.8.1.
Title Cluster Analysis --
Miscellaneous information 2.8.1.1.
Title Measures of Similarity or Distance --
Miscellaneous information 2.8.1.2.
Title k-Means Clustering --
Miscellaneous information 2.8.1.3.
Title Hierarchical Clustering --
Miscellaneous information 2.8.1.4.
Title Two-Way Clustering and Related Methods --
Miscellaneous information 2.8.2.
Title Principal Component Analysis --
Miscellaneous information 2.8.3.
Title Self-Organizing Maps --
-- Exercises --
Miscellaneous information 3.
Title Biomarker Discovery and Classification --
Miscellaneous information 3.1.
Title Overview --
Miscellaneous information 3.1.1.
Title Gene Expression Matrix...Again --
Miscellaneous information 3.1.2.
Title Biomarker Discovery --
Miscellaneous information 3.1.3.
Title Classification Systems --
Miscellaneous information 3.1.3.1.
Title Parametric and Nonparametric Learning Algorithms --
Miscellaneous information 3.1.3.2.
Title Terms Associated with Common Assumptions Underlying Parametric Learning Algorithms --
Miscellaneous information 3.1.3.3.
Title Visualization of Classification Results --
Miscellaneous information 3.1.4.
Title Validation of the Classification Model --
Miscellaneous information 3.1.4.1.
Title Reclassification --
Miscellaneous information 3.1.4.2.
Title Leave-One-Out and K-Fold Cross-Validation --
Miscellaneous information 3.1.4.3.
Title External and Internal Cross-Validation --
Miscellaneous information 3.1.4.4.
Title Holdout Method of Validation --
Miscellaneous information 3.1.4.5.
Title Ensemble-Based Validation (Using Out-of-Bag Samples) --
Miscellaneous information 3.1.4.6.
Title Validation on an Independent Data Set --
Miscellaneous information 3.1.5.
Title Reporting Validation Results --
Miscellaneous information 3.1.5.1.
Title Binary Classifiers --
Miscellaneous information 3.1.5.2.
Title Multiclass Classifiers --
Miscellaneous information 3.1.6.
Title Identifying Biological Processes Underlying the Class Differentiation --
Miscellaneous information 3.2.
Title Feature Selection --
Miscellaneous information 3.2.1.
Title Introduction --
Miscellaneous information 3.2.2.
Title Univariate Versus Multivariate Approaches --
Miscellaneous information 3.2.3.
Title Supervised Versus Unsupervised Methods --
Miscellaneous information 3.2.4.
Title Taxonomy of Feature Selection Methods --
Miscellaneous information 3.2.4.1.
Title Filters, Wrappers, Hybrid, and Embedded Models --
Miscellaneous information 3.2.4.2.
Title Strategy: Exhaustive, Complete, Sequential, Random, and Hybrid Searches --
Miscellaneous information 3.2.4.3.
Title Subset Evaluation Criteria --
Miscellaneous information 3.2.4.4.
Title Search-Stopping Criteria --
Miscellaneous information 3.2.5.
Title Feature Selection for Multiclass Discrimination --
Miscellaneous information 3.2.6.
Title Regularization and Feature Selection --
Miscellaneous information 3.2.7.
Title Stability of Biomarkers --
Miscellaneous information 3.3.
Title Discriminant Analysis --
Miscellaneous information 3.3.1.
Title Introduction --
Miscellaneous information 3.3.2.
Title Learning Algorithm --
Miscellaneous information 3.3.3.
Title A Stepwise Hybrid Feature Selection with T2 --
Miscellaneous information 3.4.
Title Support Vector Machines --
Miscellaneous information 3.4.1.
Title Hard-Margin Support Vector Machines --
Miscellaneous information 3.4.2.
Title Soft-Margin Support Vector Machines --
Miscellaneous information 3.4.3.
Title Kernels --
Miscellaneous information 3.4.4.
Title SVMs and Multiclass Discrimination --
Miscellaneous information 3.4.4.1.
Title One-Versus-the-Rest Approach --
Miscellaneous information 3.4.4.2.
Title Pairwise Approach --
Miscellaneous information 3.4.4.3.
Title All-Classes-Simultaneously Approach --
Miscellaneous information 3.4.5.
Title SVMs and Feature Selection: Recursive Feature Elimination --
Miscellaneous information 3.4.6.
Title Summary --
Miscellaneous information 3.5.
Title Random Forests --
Miscellaneous information 3.5.1.
Title Introduction --
Miscellaneous information 3.5.2.
Title Random Forests Learning Algorithm --
Miscellaneous information 3.5.3.
Title Random Forests and Feature Selection --
Miscellaneous information 3.5.4.
Title Summary --
Miscellaneous information 3.6.
Title Ensemble Classifiers, Bootstrap Methods, and The Modified Bagging Schema --
Miscellaneous information 3.6.1.
Title Ensemble Classifiers --
Miscellaneous information 3.6.1.1.
Title Parallel Approach --
Miscellaneous information 3.6.1.2.
Title Serial Approach --
Miscellaneous information 3.6.1.3.
Title Ensemble Classifiers and Biomarker Discovery --
Miscellaneous information 3.6.2.
Title Bootstrap Methods --
Miscellaneous information 3.6.3.
Title Bootstrap and Linear Discriminant Analysis --
Miscellaneous information 3.6.4.
Title The Modified Bagging Schema --
Miscellaneous information 3.7.
Title Other Learning Algorithms --
Miscellaneous information 3.7.1.
Title k-Nearest Neighbor Classifiers --
Miscellaneous information 3.7.2.
Title Artificial Neural Networks --
Miscellaneous information 3.7.2.1.
Title Perceptron --
Miscellaneous information 3.7.2.2.
Title Multilayer Feedforward Neural Networks --
Miscellaneous information 3.7.2.3.
Title Training the Network (Supervised Learning) --
Miscellaneous information 3.8.
Title Eight Commandments of Gene Expression Analysis (for Biomarker Discovery) --
-- Exercises --
Miscellaneous information 4.
Title The Informative Set of Genes --
Miscellaneous information 4.1.
Title Introduction --
Miscellaneous information 4.2.
Title Definitions --
Miscellaneous information 4.3.
Title The Method --
Miscellaneous information 4.3.1.
Title Identification of the Informative Set of Genes --
Miscellaneous information 4.3.2.
Title Primary Expression Patterns of the informative Set of Genes --
Miscellaneous information 4.3.3.
Title The Most Frequently Used Genes of the Primary Expression Patterns --
Miscellaneous information 4.4.
Title Using the Informative Set of Genes to Identify Robust Multivariate Biomarkers --
Miscellaneous information 4.5.
Title Summary --
-- Exercises --
Miscellaneous information 5.
Title Analysis of Protein Expression Data --
Miscellaneous information 5.1.
Title Introduction --
Miscellaneous information 5.2.
Title Protein Chip Technology --
Miscellaneous information 5.2.1.
Title Antibody Microarrays --
Miscellaneous information 5.2.2.
Title Peptide Microarrays --
Miscellaneous information 5.2.3.
Title Protein Microarrays --
Miscellaneous information 5.2.4.
Title Reverse Phase Microarrays --
Miscellaneous information 5.3.
Title Two-Dimensional Gel Electrophoresis --
Miscellaneous information 5.4.
Title MALDI-TOF and SELDI-TOF Mass Spectrometry --
Miscellaneous information 5.4.1.
Title MALDI-TOF Mass Spectrometry --
Miscellaneous information 5.4.2.
Title SELDI-TOF Mass Spectrometry --
Miscellaneous information 5.5.
Title Preprocessing of Mass Spectrometry Data --
Miscellaneous information 5.5.1.
Title Introduction --
Miscellaneous information 5.5.2.
Title Elements of Preprocessing of SELDI-TOF Mass Spectrometry Data --
Miscellaneous information 5.5.2.1.
Title Quality Assessment --
Miscellaneous information 5.5.2.2.
Title Calibration --
Miscellaneous information 5.5.2.3.
Title Baseline Correction --
Miscellaneous information 5.5.2.4.
Title Noise Reduction and Smoothing --
Miscellaneous information 5.5.2.5.
Title Peak Detection --
Miscellaneous information 5.5.2.6.
Title Intensity Normalization --
Miscellaneous information 5.5.2.7.
Title Peak Alignment Across Spectra --
Miscellaneous information 5.6.
Title Analysis of Protein Expression Data --
Miscellaneous information 5.6.1.
Title Additional Preprocessing --
Miscellaneous information 5.6.2.
Title Basic Exploratory Data Analysis --
Miscellaneous information 5.6.3.
Title Unsupervised Learning --
Miscellaneous information 5.6.4.
Title Supervised Learning---Feature Selection and Biomarker Discovery --
Miscellaneous information 5.6.5.
Title Supervised Learning---Classification Systems --
Miscellaneous information 5.7.
Title Associating Biomarker Peaks with Proteins --
Miscellaneous information 5.7.1.
Title Introduction --
Miscellaneous information 5.7.2.
Title The Universal Protein Resource (UniProt) --
Miscellaneous information 5.7.3.
Title Search Programs --
Miscellaneous information 5.7.4.
Title Tandem Mass Spectrometry --
Miscellaneous information 5.8.
Title Summary --
Miscellaneous information 6.
Title Sketches for Selected Exercises --
Miscellaneous information 6.1.
Title Introduction --
Miscellaneous information 6.2.
Title Multiclass Discrimination (Exercise 3.2) --
Miscellaneous information 6.2.1.
Title Data Set Selection, Downloading, and Consolidation --
Miscellaneous information 6.2.2.
Title Filtering Probe Sets --
Miscellaneous information 6.2.3.
Title Designing a Multistage Classification Schema --
Miscellaneous information 6.3.
Title Identifying the Informative Set of Genes (Exercises 4.2-4.6) --
Miscellaneous information 6.3.1.
Title The Informative Set of Genes --
Miscellaneous information 6.3.2.
Title Primary Expression Patterns of the Informative Set --
Miscellaneous information 6.3.3.
Title The Most Frequently Used Genes of the Primary Expression Patterns --
Miscellaneous information 6.4.
Title Using the Informative Set of Genes to Identify Robust Multivariate Markers (Exercise 4.8) --
Miscellaneous information 6.5.
Title Validating Biomarkers on an Independent Test Data Set (Exercise 4.8) --
Miscellaneous information 6.6.
Title Using a Training Set that Combines More than One Data Set (Exercises 3.5 and 4.1-4.8) --
Miscellaneous information 6.6.1.
Title Combining the Two Data Sets into a Single Training Set --
Miscellaneous information 6.6.2.
Title Filtering Probe Sets of the Combined Data --
Miscellaneous information 6.6.3.
Title Assessing the Discriminatory Power of the Biomarkers and Their Generalization --
Miscellaneous information 6.6.4.
Title Identifying the Informative Set of Genes --
505 80 - FORMATTED CONTENTS NOTE
Miscellaneous information 6.6.5.
Title Primary Expression Patterns of the Informative Set of Genes --
Miscellaneous information 6.6.6.
Title The Most Frequently Used Genes of the Primary Expression Patterns --
Miscellaneous information 6.6.7.
Title Using the Informative Set of Genes to Identify Robust Multivariate Markers --
Miscellaneous information 6.6.8.
Title Validating Biomarkers on an Independent Test Data Set.
520 1# - SUMMARY, ETC.
Summary, etc "Proper analysis and mining of the rapidly growing amount of available genomic and proteomic data is vital for advances in biomedical research. Data Mining for Genomics and Proteomics describes efficient methods for analysis of gene and protein expression data. Dr. Darius Dziuda demonstrates step by step how biomedical studies can and should be performed to maximize the chance of extracting new and useful biomedical knowledge from available data. Readers receive clear guidance on when to use particular data mining methods and why, along with the reasons why some popular approaches can lead to inferior results." "This book covers all aspects of gene and protein expression analysis---from technology, data preprocessing, quality assessment, and basic exploratory analysis to unsupervised and supervised learning algorithms, feature selection, and biomarker discovery. Also presented is a novel method for identification of the Informative Set of Genes, defined as a set containing all information significant for the differentiation of classes represented in training data. Special attention is given to multivariate biomarker discovery leading to parsimonious and generalizable classifiers. In addition, exercises and examples of hands-on analysis of real-world gene expression data sets give readers an opportunity to put the methods they have learned to practical use." "Data Mining for Genomics and Proteomics is an excellent resource for data mining specialists, bioinformaricians, computational biologists, biomedical scientists, computer scientists, molecular biologists, and life scientists. It is also ideal for upper-level undergraduate and graduate-level students of bioinformatics, data mining, computational biology, and biomedical sciences, as well as anyone interested in efficient methods of knowledge discovery based on high-dimensional data."--BOOK JACKET.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Genomics
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Proteomics
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
650 12 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Genomics.
650 22 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Proteomics.
650 22 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Mining.
650 22 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Automatic Data Processing.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Wiley series on methods and applications in data mining.
900 ## - EQUIVALENCE OR CROSS-REFERENCE-PERSONAL NAME [LOCAL, CANADA]
Numeration TOC
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
          Cental Instituite of Fisheries Education Cental Instituite of Fisheries Education 09/07/2012 7574.80   572.86/DZI 22173 09/07/2012 09/07/2012 Books
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