Computational Statistical Epigenomics (25 results)
Language: English
Published by Springer, 2015
Series: Translational Bioinformatics, Book 7 of 16. Book 7 of 16 - Translational Bioinformatics
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Published by Springer Netherlands, 2016
Series: Translational Bioinformatics, Book 7 of 16. Book 7 of 16 - Translational Bioinformatics
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Language: English
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Series: Translational Bioinformatics, Book 7 of 16. Book 7 of 16 - Translational Bioinformatics
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Published by Springer, 2015
Series: Translational Bioinformatics, Book 7 of 16. Book 7 of 16 - Translational Bioinformatics
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Condition: New. pp. 217.
Language: English
Published by Springer, 2016
Series: Translational Bioinformatics, Book 7 of 16. Book 7 of 16 - Translational Bioinformatics
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Taschenbuch. Condition: 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]com… | Anbieter: preigu.
Language: English
Published by Springer, 2015
Series: Translational Bioinformatics, Book 7 of 16. Book 7 of 16 - Translational Bioinformatics
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Hardcover. Condition: Brand New. 2015 edition. 217 pages. 9.25x6.25x0.75 inches. In Stock.
Language: English
Published by Springer Netherlands, Springer, 2015
Series: Translational Bioinformatics, Book 7 of 16. Book 7 of 16 - Translational Bioinformatics
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Buch. Condition: 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.
Language: English
Published by Springer, Springer, 2016
Series: Translational Bioinformatics, Book 7 of 16. Book 7 of 16 - Translational Bioinformatics
- Softcover
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Taschenbuch. Condition: 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 no…t 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.
Language: English
Published by Springer, 2015
Series: Translational Bioinformatics, Book 7 of 16. Book 7 of 16 - Translational Bioinformatics
- Hardcover
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Language: English
Published by Springer Netherlands, 2015
Series: Translational Bioinformatics, Book 7 of 16. Book 7 of 16 - Translational Bioinformatics
- Hardcover
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Condition: 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 no…t 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.
Language: English
Published by Springer, 2016
Series: Translational Bioinformatics, Book 7 of 16. Book 7 of 16 - Translational Bioinformatics
- Softcover
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Paperback. Condition: Brand New. reprint edition. 224 pages. 9.25x6.10x0.53 inches. In Stock.
Language: English
Published by Springer, 2016
Series: Translational Bioinformatics, Book 7 of 16. Book 7 of 16 - Translational Bioinformatics
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Language: English
Published by Springer, 2016
Series: Translational Bioinformatics, Book 7 of 16. Book 7 of 16 - Translational Bioinformatics
- Softcover
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Language: English
Published by Springer, 2016
Series: Translational Bioinformatics, Book 7 of 16. Book 7 of 16 - Translational Bioinformatics
- Softcover
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Paperback. Condition: Brand New. reprint edition. 224 pages. 9.25x6.10x0.53 inches. In Stock.
Language: English
Published by Springer, 2015
Series: Translational Bioinformatics, Book 7 of 16. Book 7 of 16 - Translational Bioinformatics
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Language: English
Published by Springer, 2015
Series: Translational Bioinformatics, Book 7 of 16. Book 7 of 16 - Translational Bioinformatics
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Language: English
Published by Springer Netherlands Okt 2016, 2016
Series: Translational Bioinformatics, Book 7 of 16. Book 7 of 16 - Translational Bioinformatics
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Taschenbuch. Condition: 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…. 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.
Language: English
Published by Springer Netherlands Mai 2015, 2015
Series: Translational Bioinformatics, Book 7 of 16. Book 7 of 16 - Translational Bioinformatics
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Buch. Condition: 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. Epige…nomics 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.
Language: English
Published by Springer, 2015
Series: Translational Bioinformatics, Book 7 of 16. Book 7 of 16 - Translational Bioinformatics
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Condition: New. Print on Demand pp. 217.
Language: English
Published by Springer, 2015
Series: Translational Bioinformatics, Book 7 of 16. Book 7 of 16 - Translational Bioinformatics
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Published by Springer, 2015
Series: Translational Bioinformatics, Book 7 of 16. Book 7 of 16 - Translational Bioinformatics
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Buch. Condition: 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: p…reigu Print on Demand.
Language: English
Published by Springer, Springer Okt 2016, 2016
Series: Translational Bioinformatics, Book 7 of 16. Book 7 of 16 - Translational Bioinformatics
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Taschenbuch. Condition: 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. Ep…igenomics 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.
Language: English
Published by Springer, Springer Mai 2015, 2015
Series: Translational Bioinformatics, Book 7 of 16. Book 7 of 16 - Translational Bioinformatics
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Buch. Condition: 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. Epigenomi…cs 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.
Language: English
Published by Springer, 2016
Series: Translational Bioinformatics, Book 7 of 16. Book 7 of 16 - Translational Bioinformatics
- Softcover
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Language: English
Published by Springer, 2016
Series: Translational Bioinformatics, Book 7 of 16. Book 7 of 16 - Translational Bioinformatics
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