Statistical Analysis in Proteomics (Record no. 257268)

MARC details
000 -LEADER
fixed length control field 04074nam a22004815i 4500
001 - CONTROL NUMBER
control field 978-1-4939-3106-4
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20160615101054.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 151030s2016 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781493931064
-- 978-1-4939-3106-4
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-4939-3106-4
Source of number or code doi
049 ## - LOCAL HOLDINGS (OCLC)
Holding library Alfaisal Main Library
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QD431-431.7
072 #7 - SUBJECT CATEGORY CODE
Subject category code PSBC
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code SCI007000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 572.6
Edition number 23
245 10 - TITLE STATEMENT
Title Statistical Analysis in Proteomics
Medium [electronic resource] /
Statement of responsibility, etc edited by Klaus Jung.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2016.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS
Place of production, publication, distribution, manufacture New York, NY :
Name of producer, publisher, distributor, manufacturer Springer New York :
-- Imprint: Humana Press,
Date of production, publication, distribution, manufacture 2016.
300 ## - PHYSICAL DESCRIPTION
Extent X, 313 p. 85 illus., 58 illus. in color.
Other physical details online resource.
336 ## - CONTENT TYPE
Content Type Term text
Content Type Code txt
Source rdacontent
337 ## - MEDIA TYPE
Media Type Term computer
Media Type Code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier Type Term online resource
Carrier Type Code cr
Source rdacarrier
347 ## -
-- text file
-- PDF
-- rda
490 1# - SERIES STATEMENT
Series statement Methods in Molecular Biology,
International Standard Serial Number 1064-3745 ;
Volume number/sequential designation 1362
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction to Proteomics Technologies -- Topics in Study Design and Analysis for Multi-Stage Clinical Proteomics Studies -- Preprocessing and Analysis of LC-MS-Based Proteomic Data -- Normalization of Reverse Phase Protein Microarray Data: Choosing the Best Normalization Analyte -- Outlier Detection for Mass Spectrometric Data -- Visualization and Differential Analysis of Protein Expression Data Using R -- False Discovery Rate Estimation in Proteomics -- A Nonparametric Bayesian Model for Nested Clustering -- Set-Based Test Procedures for the Functional Analysis of Protein Lists from Differential Analysis -- Classification of Samples with Order Restricted Discriminant Rules -- Application of Discriminant Analysis and Cross Validation on Proteomics Data -- Protein Sequence Analysis by Proximities -- Statistical Method for Integrative Platform Analysis: Application to Integration of Proteomic and Microarray Data -- Data Fusion in Metabolomics and Proteomics for Biomarkers Discovery -- Reconstruction of Protein Networks Using Reverse Phase Protein Array Data -- Detection of Unknown Amino Acid Substitutions Using Error-Tolerant Database Search -- Data Analysis Strategies for Protein Modification Identification -- Dissecting the iTRAQ Data Analysis -- Statistical Aspects in Proteomic Biomarker Discovery.
520 ## - SUMMARY, ETC.
Summary, etc This valuable collection aims to provide a collection of frequently used statistical methods in the field of proteomics. Although there is a large overlap between statistical methods for the different ‘omics’ fields, methods for analyzing data from proteomics experiments need their own specific adaptations. To satisfy that need, Statistical Analysis in Proteomics focuses on the planning of proteomics experiments, the preprocessing and analysis of the data, the integration of proteomics data with other high-throughput data, as well as some special topics. Written for the highly successful Methods in Molecular Biology series, the chapters contain the kind of detail and expert implementation advice that makes for a smooth transition to the laboratory.   Practical and authoritative, Statistical Analysis in Proteomics serves as an ideal reference for statisticians involved in the planning and analysis of proteomics experiments, beginners as well as advanced researchers, and also for biologists, biochemists, and medical researchers who want to learn more about the statistical opportunities in the analysis of proteomics data.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Life sciences.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Proteins.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Life Sciences.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Protein Science.
655 #7 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
Source of term local
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Jung, Klaus.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781493931057
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Methods in Molecular Biology,
-- 1064-3745 ;
Volume number/sequential designation 1362
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://ezproxy.alfaisal.edu/login?url=http://dx.doi.org/10.1007/978-1-4939-3106-4">http://ezproxy.alfaisal.edu/login?url=http://dx.doi.org/10.1007/978-1-4939-3106-4</a>
912 ## -
-- ZDB-2-PRO
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type eBooks

No items available.

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