Statistical Methods in Molecular Biology:
While there is a wide selection of 'by experts, for experts’ books in statistics and molecular biology, there is a distinct need for a book that presents the basic principles of proper statistical analyses and progresses to more advanced statistical methods in response to rapidly developing tec...
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Totowa, NJ
Humana Press
2010
|
| Schriftenreihe: | Methods in Molecular Biology, Methods and Protocols
620 |
| Schlagworte: | |
| Online-Zugang: | UBR01 TUM01 URL des Erstveröffentlichers |
| Zusammenfassung: | While there is a wide selection of 'by experts, for experts’ books in statistics and molecular biology, there is a distinct need for a book that presents the basic principles of proper statistical analyses and progresses to more advanced statistical methods in response to rapidly developing technologies and methodologies in the field of molecular biology. Statistical Methods in Molecular Biology strives to fill that gap by covering basic and intermediate statistics that are useful for classical molecular biology settings and advanced statistical techniques that can be used to help solve problems commonly encountered in modern molecular biology studies, such as supervised and unsupervised learning, hidden Markov models, methods for manipulation and analysis of high-throughput microarray and proteomic data, and methods for the synthesis of the available evidences. This detailed volume offers molecular biologists a book in a progressive style where basic statistical methods are introduced and gradually elevated to an intermediate level, while providing statisticians knowledge of various biological data generated from the field of molecular biology, the types of questions of interest to molecular biologists, and the state-of-the-art statistical approaches to analyzing the data. As a volume in the highly successful Methods in Molecular Biology™ series, this work provides the kind of meticulous descriptions and implementation advice for diverse topics that are crucial for getting optimal results. Comprehensive but convenient, Statistical Methods in Molecular Biology will aid students, scientists, and researchers along the pathway from beginning strategies to a deeper understanding of these vital systems of data analysis and interpretation within one concise volume. "Here is a comprehensive book that systematically covers both basic and advanced statistical topics in molecular biology, including parametric and nonparametric, and frequentist and Bayesian methods. I am highly impressed by the breadth and depth of the applications. I strongly recommend this book for both statisticians and biologists who need to communicate with each other in this exciting field of research." - Robert C. Elston, PhD., Director, Division of Genetic and Molecular Epidemiology, Case Western Reserve University "An extraordinary exposition of the central topics of modern molecular biology, presented by practicing experts who weave together rigorous theory with practical techniques and illustrative examples." - George C. Newman, MD, PhD, Chairman, Neurosensory Sciences, Albert Einstein Medical Center "I cannot think of anything we need now in translation research field more than more efficient cross talk between molecular biology and statistics. |
| Beschreibung: | 1 Online-Ressource (XIV, 636 p) |
| ISBN: | 9781607615804 |
| DOI: | 10.1007/978-1-60761-580-4 |
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| 520 | |a While there is a wide selection of 'by experts, for experts’ books in statistics and molecular biology, there is a distinct need for a book that presents the basic principles of proper statistical analyses and progresses to more advanced statistical methods in response to rapidly developing technologies and methodologies in the field of molecular biology. Statistical Methods in Molecular Biology strives to fill that gap by covering basic and intermediate statistics that are useful for classical molecular biology settings and advanced statistical techniques that can be used to help solve problems commonly encountered in modern molecular biology studies, such as supervised and unsupervised learning, hidden Markov models, methods for manipulation and analysis of high-throughput microarray and proteomic data, and methods for the synthesis of the available evidences. | ||
| 520 | |a This detailed volume offers molecular biologists a book in a progressive style where basic statistical methods are introduced and gradually elevated to an intermediate level, while providing statisticians knowledge of various biological data generated from the field of molecular biology, the types of questions of interest to molecular biologists, and the state-of-the-art statistical approaches to analyzing the data. As a volume in the highly successful Methods in Molecular Biology™ series, this work provides the kind of meticulous descriptions and implementation advice for diverse topics that are crucial for getting optimal results. Comprehensive but convenient, Statistical Methods in Molecular Biology will aid students, scientists, and researchers along the pathway from beginning strategies to a deeper understanding of these vital systems of data analysis and interpretation within one concise volume. | ||
| 520 | |a "Here is a comprehensive book that systematically covers both basic and advanced statistical topics in molecular biology, including parametric and nonparametric, and frequentist and Bayesian methods. I am highly impressed by the breadth and depth of the applications. I strongly recommend this book for both statisticians and biologists who need to communicate with each other in this exciting field of research." - Robert C. Elston, PhD., Director, Division of Genetic and Molecular Epidemiology, Case Western Reserve University "An extraordinary exposition of the central topics of modern molecular biology, presented by practicing experts who weave together rigorous theory with practical techniques and illustrative examples." - George C. Newman, MD, PhD, Chairman, Neurosensory Sciences, Albert Einstein Medical Center "I cannot think of anything we need now in translation research field more than more efficient cross talk between molecular biology and statistics. | ||
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Datensatz im Suchindex
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| discipline | Biologie |
| doi_str_mv | 10.1007/978-1-60761-580-4 |
| format | Electronic eBook |
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| spelling | Statistical Methods in Molecular Biology edited by Heejung Bang, Xi Kathy Zhou, Heather L. van Epps, Madhu Mazumdar Totowa, NJ Humana Press 2010 1 Online-Ressource (XIV, 636 p) txt rdacontent c rdamedia cr rdacarrier Methods in Molecular Biology, Methods and Protocols 620 While there is a wide selection of 'by experts, for experts’ books in statistics and molecular biology, there is a distinct need for a book that presents the basic principles of proper statistical analyses and progresses to more advanced statistical methods in response to rapidly developing technologies and methodologies in the field of molecular biology. Statistical Methods in Molecular Biology strives to fill that gap by covering basic and intermediate statistics that are useful for classical molecular biology settings and advanced statistical techniques that can be used to help solve problems commonly encountered in modern molecular biology studies, such as supervised and unsupervised learning, hidden Markov models, methods for manipulation and analysis of high-throughput microarray and proteomic data, and methods for the synthesis of the available evidences. This detailed volume offers molecular biologists a book in a progressive style where basic statistical methods are introduced and gradually elevated to an intermediate level, while providing statisticians knowledge of various biological data generated from the field of molecular biology, the types of questions of interest to molecular biologists, and the state-of-the-art statistical approaches to analyzing the data. As a volume in the highly successful Methods in Molecular Biology™ series, this work provides the kind of meticulous descriptions and implementation advice for diverse topics that are crucial for getting optimal results. Comprehensive but convenient, Statistical Methods in Molecular Biology will aid students, scientists, and researchers along the pathway from beginning strategies to a deeper understanding of these vital systems of data analysis and interpretation within one concise volume. "Here is a comprehensive book that systematically covers both basic and advanced statistical topics in molecular biology, including parametric and nonparametric, and frequentist and Bayesian methods. I am highly impressed by the breadth and depth of the applications. I strongly recommend this book for both statisticians and biologists who need to communicate with each other in this exciting field of research." - Robert C. Elston, PhD., Director, Division of Genetic and Molecular Epidemiology, Case Western Reserve University "An extraordinary exposition of the central topics of modern molecular biology, presented by practicing experts who weave together rigorous theory with practical techniques and illustrative examples." - George C. Newman, MD, PhD, Chairman, Neurosensory Sciences, Albert Einstein Medical Center "I cannot think of anything we need now in translation research field more than more efficient cross talk between molecular biology and statistics. Life Sciences Biochemistry, general Probability Theory and Stochastic Processes Bioinformatics Statistics, general Biostatistics Life sciences Biochemistry Probabilities Statistics Statistik (DE-588)4056995-0 gnd rswk-swf Molekularbiologie (DE-588)4039983-7 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Molekularbiologie (DE-588)4039983-7 s Statistik (DE-588)4056995-0 s DE-604 Bang, Heejung edt Zhou, Xi Kathy edt Epps, Heather L. van edt Mazumdar, Madhu edt Erscheint auch als Druck-Ausgabe 9781607615781 https://doi.org/10.1007/978-1-60761-580-4 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Statistical Methods in Molecular Biology Life Sciences Biochemistry, general Probability Theory and Stochastic Processes Bioinformatics Statistics, general Biostatistics Life sciences Biochemistry Probabilities Statistics Statistik (DE-588)4056995-0 gnd Molekularbiologie (DE-588)4039983-7 gnd |
| subject_GND | (DE-588)4056995-0 (DE-588)4039983-7 (DE-588)4143413-4 |
| title | Statistical Methods in Molecular Biology |
| title_auth | Statistical Methods in Molecular Biology |
| title_exact_search | Statistical Methods in Molecular Biology |
| title_full | Statistical Methods in Molecular Biology edited by Heejung Bang, Xi Kathy Zhou, Heather L. van Epps, Madhu Mazumdar |
| title_fullStr | Statistical Methods in Molecular Biology edited by Heejung Bang, Xi Kathy Zhou, Heather L. van Epps, Madhu Mazumdar |
| title_full_unstemmed | Statistical Methods in Molecular Biology edited by Heejung Bang, Xi Kathy Zhou, Heather L. van Epps, Madhu Mazumdar |
| title_short | Statistical Methods in Molecular Biology |
| title_sort | statistical methods in molecular biology |
| topic | Life Sciences Biochemistry, general Probability Theory and Stochastic Processes Bioinformatics Statistics, general Biostatistics Life sciences Biochemistry Probabilities Statistics Statistik (DE-588)4056995-0 gnd Molekularbiologie (DE-588)4039983-7 gnd |
| topic_facet | Life Sciences Biochemistry, general Probability Theory and Stochastic Processes Bioinformatics Statistics, general Biostatistics Life sciences Biochemistry Probabilities Statistics Statistik Molekularbiologie Aufsatzsammlung |
| url | https://doi.org/10.1007/978-1-60761-580-4 |
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