Computational statistical epigenomics (24 risultati)

Lingua: Inglese
Editore: Springer, 2015
Serie: Translational Bioinformatics, Libro 7 di 16. Libro 7 di 16 - Translational Bioinformatics
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Serie: Translational Bioinformatics, Libro 7 di 16. Libro 7 di 16 - Translational Bioinformatics
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Lingua: Inglese
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Serie: Translational Bioinformatics, Libro 7 di 16. Libro 7 di 16 - Translational Bioinformatics
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Lingua: Inglese
Editore: Springer, 2015
Serie: Translational Bioinformatics, Libro 7 di 16. Libro 7 di 16 - Translational Bioinformatics
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Condizione: New. pp. 217.

Lingua: Inglese
Editore: Springer, 2016
Serie: Translational Bioinformatics, Libro 7 di 16. Libro 7 di 16 - Translational Bioinformatics
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Taschenbuch. Condizione: Neu. Computational and Statistical Epigenomics | Andrew E. Teschendorff | Taschenbuch | Translational Bioinformatics | v | Englisch | 2016 | Springer | EAN 9789402403435 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]co…m | Anbieter: preigu.

Lingua: Inglese
Editore: Springer, 2015
Serie: Translational Bioinformatics, Libro 7 di 16. Libro 7 di 16 - Translational Bioinformatics
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Lingua: Inglese
Editore: Springer, Springer, 2016
Serie: Translational Bioinformatics, Libro 7 di 16. Libro 7 di 16 - Translational Bioinformatics
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces the reader to modern computational and statistical tools for translational epigenomics research. Over the last decade, epigenomics has emerged as a key area of molecular biology, epidemiology and genome medicine. Epigenomics n…ot only offers us a deeper understanding of fundamental cellular biology, but also provides us with the basis for an improved understanding and management of complex diseases. From novel biomarkers for risk prediction, early detection, diagnosis and prognosis of common diseases, to novel therapeutic strategies, epigenomics is set to play a key role in the personalized medicine of the future. In this book we introduce the reader to some of the most important computational and statistical methods for analyzing epigenomic data, with a special focus on DNA methylation. Topics include normalization, correction for cellular heterogeneity, batch effects, clustering, supervised analysis and integrative methods for systems epigenomics. This book will be of interest to students and researchers in bioinformatics, biostatistics, biologists and clinicians alike.Dr. Andrew E. Teschendorff is Head of the Computational Systems Genomics Lab at the CAS-MPG Partner Institute for Computational Biology, Shanghai, China, as well as an Honorary Research Fellow at the UCL Cancer Institute, University College London, UK.

Lingua: Inglese
Editore: Springer Netherlands, Springer, 2015
Serie: Translational Bioinformatics, Libro 7 di 16. Libro 7 di 16 - Translational Bioinformatics
- Rilegato
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces the reader to modern computational and statistical tools for translational epigenomics research. Over the last decade, epigenomics has emerged as a key area of molecular biology, epidemiology and genome medicine. Epigenomics not only… offers us a deeper understanding of fundamental cellular biology, but also provides us with the basis for an improved understanding and management of complex diseases. From novel biomarkers for risk prediction, early detection, diagnosis and prognosis of common diseases, to novel therapeutic strategies, epigenomics is set to play a key role in the personalized medicine of the future. In this book we introduce the reader to some of the most important computational and statistical methods for analyzing epigenomic data, with a special focus on DNA methylation. Topics include normalization, correction for cellular heterogeneity, batch effects, clustering, supervised analysis and integrative methods for systems epigenomics. This book will be of interest to students and researchers in bioinformatics, biostatistics, biologists and clinicians alike.Dr. Andrew E. Teschendorff is Head of the Computational Systems Genomics Lab at the CAS-MPG Partner Institute for Computational Biology, Shanghai, China, as well as an Honorary Research Fellow at the UCL Cancer Institute, University College London, UK.

Lingua: Inglese
Editore: Springer Netherlands, 2015
Serie: Translational Bioinformatics, Libro 7 di 16. Libro 7 di 16 - Translational Bioinformatics
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Da: Buchpark, Trebbin, GermaniaBuchpark
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Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This book introduces the reader to modern computational and statistical tools for translational epigenomics research. Over the last decade, epigenomics has emerged as a key area of molecular biology, epidemiology and genome medicine. Epigenomics n…ot only offers us a deeper understanding of fundamental cellular biology, but also provides us with the basis for an improved understanding and management of complex diseases. From novel biomarkers for risk prediction, early detection, diagnosis and prognosis of common diseases, to novel therapeutic strategies, epigenomics is set to play a key role in the personalized medicine of the future. In this book we introduce the reader to some of the most important computational and statistical methods for analyzing epigenomic data, with a special focus on DNA methylation. Topics include normalization, correction for cellular heterogeneity, batch effects, clustering, supervised analysis and integrative methods for systems epigenomics. This book will be of interest to students and researchers in bioinformatics, biostatistics, biologists and clinicians alike.Dr. Andrew E. Teschendorff is Head of the Computational Systems Genomics Lab at the CAS-MPG Partner Institute for Computational Biology, Shanghai, China, as well as an Honorary Research Fellow at the UCL Cancer Institute, University College London, UK.

Lingua: Inglese
Editore: Springer, 2015
Serie: Translational Bioinformatics, Libro 7 di 16. Libro 7 di 16 - Translational Bioinformatics
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Lingua: Inglese
Editore: Springer, 2016
Serie: Translational Bioinformatics, Libro 7 di 16. Libro 7 di 16 - Translational Bioinformatics
- Brossura
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. pp. 222.

Lingua: Inglese
Editore: Springer, 2016
Serie: Translational Bioinformatics, Libro 7 di 16. Libro 7 di 16 - Translational Bioinformatics
- Brossura
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. reprint edition. 224 pages. 9.25x6.10x0.53 inches. In Stock.

Lingua: Inglese
Editore: Springer, 2016
Serie: Translational Bioinformatics, Libro 7 di 16. Libro 7 di 16 - Translational Bioinformatics
- Brossura
Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Lingua: Inglese
Editore: Springer, 2016
Serie: Translational Bioinformatics, Libro 7 di 16. Libro 7 di 16 - Translational Bioinformatics
- Brossura
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Lingua: Inglese
Editore: Springer, 2015
Serie: Translational Bioinformatics, Libro 7 di 16. Libro 7 di 16 - Translational Bioinformatics
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Lingua: Inglese
Editore: Springer Netherlands Mai 2015, 2015
Serie: Translational Bioinformatics, Libro 7 di 16. Libro 7 di 16 - Translational Bioinformatics
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduces the reader to modern computational and statistical tools for translational epigenomics research. Over the last decade, epigenomics has emerged as a key area of molecular biology, epidemiology and genome medicine. Epig…enomics not only offers us a deeper understanding of fundamental cellular biology, but also provides us with the basis for an improved understanding and management of complex diseases. From novel biomarkers for risk prediction, early detection, diagnosis and prognosis of common diseases, to novel therapeutic strategies, epigenomics is set to play a key role in the personalized medicine of the future. In this book we introduce the reader to some of the most important computational and statistical methods for analyzing epigenomic data, with a special focus on DNA methylation. Topics include normalization, correction for cellular heterogeneity, batch effects, clustering, supervised analysis and integrative methods for systems epigenomics. This book will be of interest to students and researchers in bioinformatics, biostatistics, biologists and clinicians alike.Dr. Andrew E. Teschendorff is Head of the Computational Systems Genomics Lab at the CAS-MPG Partner Institute for Computational Biology, Shanghai, China, as well as an Honorary Research Fellow at the UCL Cancer Institute, University College London, UK. 224 pp. Englisch.

Lingua: Inglese
Editore: Springer Netherlands Okt 2016, 2016
Serie: Translational Bioinformatics, Libro 7 di 16. Libro 7 di 16 - Translational Bioinformatics
- Brossura
- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 106,99
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduces the reader to modern computational and statistical tools for translational epigenomics research. Over the last decade, epigenomics has emerged as a key area of molecular biology, epidemiology and genome medicin…e. Epigenomics not only offers us a deeper understanding of fundamental cellular biology, but also provides us with the basis for an improved understanding and management of complex diseases. From novel biomarkers for risk prediction, early detection, diagnosis and prognosis of common diseases, to novel therapeutic strategies, epigenomics is set to play a key role in the personalized medicine of the future. In this book we introduce the reader to some of the most important computational and statistical methods for analyzing epigenomic data, with a special focus on DNA methylation. Topics include normalization, correction for cellular heterogeneity, batch effects, clustering, supervised analysis and integrative methods for systems epigenomics. This book will be of interest to students and researchers in bioinformatics, biostatistics, biologists and clinicians alike.Dr. Andrew E. Teschendorff is Head of the Computational Systems Genomics Lab at the CAS-MPG Partner Institute for Computational Biology, Shanghai, China, as well as an Honorary Research Fellow at the UCL Cancer Institute, University College London, UK. 224 pp. Englisch.

Lingua: Inglese
Editore: Springer, 2015
Serie: Translational Bioinformatics, Libro 7 di 16. Libro 7 di 16 - Translational Bioinformatics
- Rilegato
- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand pp. 217.

Lingua: Inglese
Editore: Springer, 2015
Serie: Translational Bioinformatics, Libro 7 di 16. Libro 7 di 16 - Translational Bioinformatics
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- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND pp. 217.

Lingua: Inglese
Editore: Springer, Springer Okt 2016, 2016
Serie: Translational Bioinformatics, Libro 7 di 16. Libro 7 di 16 - Translational Bioinformatics
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- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book introduces the reader to modern computational and statistical tools for translational epigenomics research. Over the last decade, epigenomics has emerged as a key area of molecular biology, epidemiology and genome medicine. E…pigenomics not only offers us a deeper understanding of fundamental cellular biology, but also provides us with the basis for an improved understanding and management of complex diseases. From novel biomarkers for risk prediction, early detection, diagnosis and prognosis of common diseases, to novel therapeutic strategies, epigenomics is set to play a key role in the personalized medicine of the future. In this book we introduce the reader to some of the most important computational and statistical methods for analyzing epigenomic data, with a special focus on DNA methylation. Topics include normalization, correction for cellular heterogeneity, batch effects, clustering, supervised analysis and integrative methods for systems epigenomics. This book will be of interest to students and researchers in bioinformatics, biostatistics, biologists and clinicians alike.Dr. Andrew E. Teschendorff is Head of the Computational Systems Genomics Lab at the CAS-MPG Partner Institute for Computational Biology, Shanghai, China, as well as an Honorary Research Fellow at the UCL Cancer Institute, University College London, UK.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 224 pp. Englisch.

Lingua: Inglese
Editore: Springer, Springer Mai 2015, 2015
Serie: Translational Bioinformatics, Libro 7 di 16. Libro 7 di 16 - Translational Bioinformatics
- Rilegato
- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 106,99
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book introduces the reader to modern computational and statistical tools for translational epigenomics research. Over the last decade, epigenomics has emerged as a key area of molecular biology, epidemiology and genome medicine. Epigenom…ics not only offers us a deeper understanding of fundamental cellular biology, but also provides us with the basis for an improved understanding and management of complex diseases. From novel biomarkers for risk prediction, early detection, diagnosis and prognosis of common diseases, to novel therapeutic strategies, epigenomics is set to play a key role in the personalized medicine of the future. In this book we introduce the reader to some of the most important computational and statistical methods for analyzing epigenomic data, with a special focus on DNA methylation. Topics include normalization, correction for cellular heterogeneity, batch effects, clustering, supervised analysis and integrative methods for systems epigenomics. This book will be of interest to students and researchers in bioinformatics, biostatistics, biologists and clinicians alike.Dr. Andrew E. Teschendorff is Head of the Computational Systems Genomics Lab at the CAS-MPG Partner Institute for Computational Biology, Shanghai, China, as well as an Honorary Research Fellow at the UCL Cancer Institute, University College London, UK.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 224 pp. Englisch.
Altre immaginiLingua: Inglese
Editore: Springer, 2015
Serie: Translational Bioinformatics, Libro 7 di 16. Libro 7 di 16 - Translational Bioinformatics
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Da: preigu, Osnabrück, Germaniapreigu
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Buch. Condizione: Neu. Computational and Statistical Epigenomics | Andrew E. Teschendorff | Buch | Translational Bioinformatics | v | Englisch | 2015 | Springer | EAN 9789401799263 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter:…preigu Print on Demand.

Lingua: Inglese
Editore: Springer, 2016
Serie: Translational Bioinformatics, Libro 7 di 16. Libro 7 di 16 - Translational Bioinformatics
- Brossura
- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand pp. 222.

Lingua: Inglese
Editore: Springer, 2016
Serie: Translational Bioinformatics, Libro 7 di 16. Libro 7 di 16 - Translational Bioinformatics
- Brossura
- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND pp. 222.