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Record Nr. |
UNINA9910456949203321 |
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Titolo |
New developments in biostatistics and bioinformatics [[electronic resource] /] / editors, Jianqing Fan, Xihong Lin, Jun S. Liu |
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Pubbl/distr/stampa |
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Beijing, China, : Higher Education Press |
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Singapore ; ; New Jersey, : World Scientific, c2009 |
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ISBN |
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1-282-44276-7 |
9786612442766 |
981-283-744-2 |
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Descrizione fisica |
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1 online resource (295 p.) |
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Collana |
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Frontiers of statistics, , 1793-8155 ; ; 1 |
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Altri autori (Persone) |
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FanJianqing |
LinXihong |
LiuJun S |
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Disciplina |
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Soggetti |
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Biometry |
Bioinformatics |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Preface; Contents; Part I Analysis of Survival and Longitudinal Data; Chapter 1 Non- and Semi- Parametric Modeling in Survival Analysis Jianqing Fan, Jiancheng Jiang.; Chapter 2 Additive-Accelerated Rate Model for Recurrent Event Donglin Zeng, Jianwen Cai; Chapter 3 An Overview on Quadratic Inference Function Approaches for Longitudinal Data John J. Dziak, Runze Li, Annie Qu; Chapter 4 Modeling and Analysis of Spatially Correlated Data Yi Li; Part II Statistical Methods for Epidemiology; Chapter 5 Study Designs for Biomarker-Based Treatment Selection Amy Laird, Xiao-Hua Zhou. |
Chapter 6 Statistical Methods for Analyzing Two-Phase Studies Jinbo ChenPart III Bioinformatics; Chapter 7 Protein Interaction Predictions from Diverse Sources Yin Liu, Inyoung Kim, Hongyu Zhao; Chapter 8 Regulatory Motif Discovery: From Decoding to Meta-Analysis Qing Zhou, Mayetri Gupta; Chapter 9 Analysis of Cancer Genome Alterations Using Single Nucleotide Polymorphism (SNP) Microarrays Cheng Li, Samir Amin; Chapter 10 Analysis of ChIP-chip Data on Genome Tiling |
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Microarrays W. Evan Johnson, Jun S. Liu, X. Shirley Liu; Subject Index.; Author Index |
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Sommario/riassunto |
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This book presents an overview of recent developments in biostatistics and bioinformatics. Written by active researchers in these emerging areas, it is intended to give graduate students and new researchers an idea of where the frontiers of biostatistics and bioinformatics are as well as a forum to learn common techniques in use, so that they can advance the fields via developing new techniques and new results. Extensive references are provided so that researchers can follow the threads to learn more comprehensively what the literature is and to conduct their own research. In particulars, the |
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