Data-driven personalized or precision medicine is coming of age. It’s increasingly easy to collect relevant “big data” from genomics to clinics. However, the interpretation of “big data” and translation into down-stream testable experimental hypotheses and patient-beneficial clinical applications or therapeutics remain difficult. This book demonstrates how to leverage and integrate computational & systems biology analysis of cancer genomics data and genome-wide functional genomics screens to identify novel driver-type therapeutic targets as well as predictive biomarkers to overcome drug-resistance and to treat aggressive human cancers. Specifically the author developed network-based systems biology framework to infer disease drivers from large volumes of cancer genomics data and sophisticated statistical algorithms to deconvolute and analyze noisy high-throughput microarray or NGS-based functional genomics screening data. Two of the discoveries from this book have successfully launched two clinical trials and one biomarker patent for specific subtypes of breast cancer.
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Jiyang Yu, PhD: did his PhD in Biomedical Informatics at Columbia University. Currently work as a Senior Scientist at Department of Precision Medicine, Pfizer Oncology. Research fields include computational & systems biology, bioinformatics, functional genomics, translational oncology and precision medicine.
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data-driven personalized or precision medicine is coming of age. It's increasingly easy to collect relevant 'big data' from genomics to clinics. However, the interpretation of 'big data' and translation into down-stream testable experimental hypotheses and patient-beneficial clinical applications or therapeutics remain difficult. This book demonstrates how to leverage and integrate computational & systems biology analysis of cancer genomics data and genome-wide functional genomics screens to identify novel driver-type therapeutic targets as well as predictive biomarkers to overcome drug-resistance and to treat aggressive human cancers. Specifically the author developed network-based systems biology framework to infer disease drivers from large volumes of cancer genomics data and sophisticated statistical algorithms to deconvolute and analyze noisy high-throughput microarray or NGS-based functional genomics screening data. Two of the discoveries from this book have successfully launched two clinical trials and one biomarker patent for specific subtypes of breast cancer. 688 pp. Englisch. Seller Inventory # 9783659806438
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Yu JiyangJiyang Yu, PhD: did his PhD in Biomedical Informatics at Columbia University. Currently work as a Senior Scientist at Department of Precision Medicine, Pfizer Oncology. Research fields include computational & systems biology. Seller Inventory # 158876817
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Taschenbuch. Condition: Neu. Systems Biology & Functional Genomics for Precision Medicine | A Data-Driven and Integrative Approach | Jiyang Yu | Taschenbuch | 688 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659806438 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 104113870
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Data-driven personalized or precision medicine is coming of age. It¿s increasingly easy to collect relevant ¿big datä from genomics to clinics. However, the interpretation of ¿big datä and translation into down-stream testable experimental hypotheses and patient-beneficial clinical applications or therapeutics remain difficult. This book demonstrates how to leverage and integrate computational & systems biology analysis of cancer genomics data and genome-wide functional genomics screens to identify novel driver-type therapeutic targets as well as predictive biomarkers to overcome drug-resistance and to treat aggressive human cancers. Specifically the author developed network-based systems biology framework to infer disease drivers from large volumes of cancer genomics data and sophisticated statistical algorithms to deconvolute and analyze noisy high-throughput microarray or NGS-based functional genomics screening data. Two of the discoveries from this book have successfully launched two clinical trials and one biomarker patent for specific subtypes of breast cancer.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 688 pp. Englisch. Seller Inventory # 9783659806438
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data-driven personalized or precision medicine is coming of age. It's increasingly easy to collect relevant 'big data' from genomics to clinics. However, the interpretation of 'big data' and translation into down-stream testable experimental hypotheses and patient-beneficial clinical applications or therapeutics remain difficult. This book demonstrates how to leverage and integrate computational & systems biology analysis of cancer genomics data and genome-wide functional genomics screens to identify novel driver-type therapeutic targets as well as predictive biomarkers to overcome drug-resistance and to treat aggressive human cancers. Specifically the author developed network-based systems biology framework to infer disease drivers from large volumes of cancer genomics data and sophisticated statistical algorithms to deconvolute and analyze noisy high-throughput microarray or NGS-based functional genomics screening data. Two of the discoveries from this book have successfully launched two clinical trials and one biomarker patent for specific subtypes of breast cancer. Seller Inventory # 9783659806438