Titlebook: Non-Hodgkin Lymphoma; Prognostic Factors a Peter J. Quesenberry,Jorge J. Castillo Book 2013 Springer Science+Business Media New York 2013 F

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书目名称Non-Hodgkin Lymphoma影响因子(影响力)




书目名称Non-Hodgkin Lymphoma影响因子(影响力)学科排名




书目名称Non-Hodgkin Lymphoma网络公开度




书目名称Non-Hodgkin Lymphoma网络公开度学科排名




书目名称Non-Hodgkin Lymphoma被引频次




书目名称Non-Hodgkin Lymphoma被引频次学科排名




书目名称Non-Hodgkin Lymphoma年度引用




书目名称Non-Hodgkin Lymphoma年度引用学科排名




书目名称Non-Hodgkin Lymphoma读者反馈




书目名称Non-Hodgkin Lymphoma读者反馈学科排名

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Non-Hodgkin Lymphoma978-1-4614-5851-7Series ISSN 2196-9906 Series E-ISSN 2196-9914

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2196-9906 ized in the field.In-depth discussion of lymphoma models andThis book will be the first that focuses on solely on model organisms for lymphoma. It‘s editors are internationally recognized in the field.978-1-4899-9419-6978-1-4614-5851-7Series ISSN 2196-9906 Series E-ISSN 2196-9914

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Cancer Drug Discovery and Developmenthttp://image.papertrans.cn/n/image/666923.jpg

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Book 2013This book will be the first that focuses on solely on model organisms for lymphoma. It‘s editors are internationally recognized in the field.

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https://doi.org/10.1007/978-1-4614-5851-7Factors; Lymphoma; Models; Prognostic; Quesenberry

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ly depends on the current phase. Previous work has modelled MPS as Deterministic Stochastic Petri Nets (DSPN) composed of two parts: a Phase net (PhN) that describes the progress of the phases and a System Net (SN) that describes the system behaviour, typically influenced by the current phase. By im

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