Liebe Besucherinnen und Besucher,
heute ab 15 Uhr feiern wir unser Sommerfest und sind daher nicht erreichbar. Ab morgen sind wir wieder wie gewohnt für Sie da. Wir bitten um Ihr Verständnis – Ihr Team von Sack Fachmedien
Buch, Englisch, Band 620, 636 Seiten, Format (B × H): 187 mm x 266 mm, Gewicht: 1364 g
Reihe: Methods in Molecular Biology
Buch, Englisch, Band 620, 636 Seiten, Format (B × H): 187 mm x 266 mm, Gewicht: 1364 g
Reihe: Methods in Molecular Biology
ISBN: 978-1-60761-578-1
Verlag: Humana Press
Thisbookisrecommendedforuseassupplementarymaterialbothinsideandoutside classroomsorasaself-learningguideforstudents,scientists,andresearcherswhodealwith numericdatainmolecularbiologyandrelated?elds. Thosewhostartasbeginners,but desiretobeatanintermediatelevel,will?ndthisbookespeciallyusefulintheirlearning pathway. WewanttothankJohnWalker(serieseditor),PatrickMarton,DavidCasey,andAnne Meagher,(editorsatSpringerandHumana)andShanthyJaganathan(Integra-India). The followingpersonsprovidedusefuladviceandcommentsonselectionoftopics,referralto expertsineachtopic,and/orchapterreviewsthatwetrulyappreciate:StephenLooney(a former editor of this book), Stan Young, Dmitri Zaykin, Douglas Hawkins, Wei Pan, Alexandre Almeida, John Ho, Rebecca Doerge, Paula Trushin, Kevin Morgan, Jason Osborne,PeterWestfall,JennyXiang,Ya-linChiu,YolandaBarron,HuiboShao,Alvin Mushlin,andRonaldFanta. Drs. Bang,Zhou,andMazumdarwerepartiallysupported byClinicalTranslationalScienceCenter(CTSC)grant(UL1-RR024996). HeejungBang vii Contents Preface. vii Contributors. xi PARTIBASICSTATISTICS. 1 1. ExperimentalStatisticsforBiologicalSciences. 3 HeejungBangandMarieDavidian 2. NonparametricMethodsforMolecularBiology. 105 KnutM. WittkowskiandTingtingSong 3. BasicsofBayesianMethods. 155 SujitK. Ghosh 4. TheBayesiant-TestandBeyond. 179 MithatGönen PARTII DESIGNSANDMETHODSFORMOLECULARBIOLOGY. 201 5. SampleSizeandPowerCalculationforMolecularBiologyStudies. 203 Sin-HoJung 6. DesignsforLinkageAnalysisandAssociationStudiesofComplexDiseases. 219 YuehuaCui,GengxinLi,ShaoyuLi,andRonglingWu 7. IntroductiontoEpigenomicsandEpigenome-WideAnalysis. 243 MelissaJ. FazzariandJohnM. Greally 8. Exploration,Visualization,andPreprocessingofHigh–DimensionalData. 267 ZhijinWuandZhiqiangWu PARTIII STATISTICALMETHODSFORMICROARRAYDATA. 285 9. IntroductiontotheStatisticalAnalysisofTwo-ColorMicroarrayData. 287 MartinaBremer,EdwardHimelblau,andAndreasMadlung 10. BuildingNetworkswithMicroarrayData. 315 BradleyM. Broom,WareeRinsurongkawong,LajosPusztai, andKim-AnhDo PARTIV ADVANCEDORSPECIALIZEDMETHODSFORMOLECULARBIOLOGY. 345 11. SupportVectorMachinesforClassi?cation:AStatisticalPortrait. 347 YoonkyungLee 12. AnOverviewofClusteringAppliedtoMolecularBiology. 369 RebeccaNugentandMarinaMeila ix xContents 13. HiddenMarkovModelandItsApplicationsinMotifFindings. 405 JingWuandJunXie 14. DimensionReductionforHigh-DimensionalData. 417 LexinLi 15. IntroductiontotheDevelopmentandValidationofPredictiveBiomarker ModelsfromHigh-ThroughputDataSets. 435 XutaoDengandFabienCampagne 16. Multi-geneExpression-basedStatisticalApproachestoPredicting Patients’ClinicalOutcomesandResponses. 471 FengCheng,Sang-HoonCho,andJaeK. Lee 17. Two-StageTestingStrategiesforGenome-WideAssociationStudies inFamily-BasedDesigns. 485 AmyMurphy,ScottT. Weiss,andChristophLange 18. StatisticalMethodsforProteomics. 497 KlausJung PARTVMETA-ANALYSISFORHIGH-DIMENSIONALDATA. 509 19. StatisticalMethodsforIntegratingMultipleTypesofHigh-ThroughputData. 511 YangXieandChulAhn 20. ABayesianHierarchicalModelforHigh-DimensionalMeta-analysis. 531 FeiLiu 21. MethodsforCombiningMultipleGenome-WideLinkageStudies. 541 TreciaA. KippolaandStephanieA. Santorico PARTVI OTHERPRACTICALINFORMATION. 561 22. ImprovedReportingofStatisticalDesignandAnalysis:Guidelines, Education,andEditorialPolicies. 563 MadhuMazumdar,SampritBanerjee,andHeatherL. VanEpps 23. StataCompanion. 599 JenniferSousaBrennan SubjectIndex. 627 Contributors CHULAHN• Division of Biostatistics, Department of Clinical Sciences, The Harold C.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
- Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
- Naturwissenschaften Biowissenschaften Molekularbiologie
- Naturwissenschaften Biowissenschaften Proteinforschung
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
Weitere Infos & Material
Basic Statistics.- Experimental Statistics for Biological Sciences.- Nonparametric Methods for Molecular Biology.- Basics of Bayesian Methods.- The Bayesian t-Test and Beyond.- Designs and Methods for Molecular Biology.- Sample Size and Power Calculation for Molecular Biology Studies.- Designs for Linkage Analysis and Association Studies of Complex Diseases.- to Epigenomics and Epigenome-Wide Analysis.- Exploration, Visualization, and Preprocessing of High–Dimensional Data.- Statistical Methods for Microarray Data.- to the Statistical Analysis of Two-Color Microarray Data.- Building Networks with Microarray Data.- Advanced or Specialized Methods for Molecular Biology.- Support Vector Machines for Classification: A Statistical Portrait.- An Overview of Clustering Applied to Molecular Biology.- Hidden Markov Model and Its Applications in Motif Findings.- Dimension Reduction for High-Dimensional Data.- to the Development and Validation of Predictive Biomarker Models from High-Throughput Data Sets.- Multi-gene Expression-based Statistical Approaches to Predicting Patients’ Clinical Outcomes and Responses.- Two-Stage Testing Strategies for Genome-Wide Association Studies in Family-Based Designs.- Statistical Methods for Proteomics.- Meta-Analysis for High-Dimensional Data.- Statistical Methods for Integrating Multiple Types of High-Throughput Data.- A Bayesian Hierarchical Model for High-Dimensional Meta-analysis.- Methods for Combining Multiple Genome-Wide Linkage Studies.- Other Practical Information.- Improved Reporting of Statistical Design and Analysis: Guidelines, Education, and Editorial Policies.- Stata Companion.