The merging of different basic and clinical science disciplines towards the common goal of fighting against cancer has long ago called for the establishment of a comprehensive reference source both as a tool to close the language gap between clinical and basic science investigators and as a platform of information for students and informed laymen alike. The Encyclopedia of Cancer provides rapid access to focused information on all topics of cancer research for clinicians, research scientists and advanced students. Given the overwhelming success of the Second Edition, which appeared in 2009, and fast recent development in the different fields of cancer research, it has been decided to publish a third fully revised and expanded edition, following the principal concept of the first edition that has proven so successful.
Total downloads of all papers by Joohong Min. If you need immediate assistance, call 877-SSRNHelp (877 777 6435) in the United States, or +1 212 448 2500 outside of the United States, 8:30AM to 6:00PM U.S. Eastern, Monday - Friday. Classifying semantic relations between entity pairs in sentences is an important task in natural language processing (NLP). Most previous models applied to relation classification rely on high-level lexical and syntactic features obtained by NLP tools such as WordNet, the dependency parser, part-of-speech (POS) tagger, and named entity recognizers (NER). In addition, state-of-the-art neural. Jan 23, 2019 Download PDF Abstract: Classifying semantic relations between entity pairs in sentences is an important task in Natural Language Processing (NLP). Most previous models for relation classification rely on the high-level lexical and syntactic features obtained by NLP tools such as WordNet, dependency parser, part-of-speech (POS) tagger, and named entity recognizers (NER).
Recent developments are seeing a dynamic progress in basic and clinical cancer science, with translational research increasingly becoming a new paradigm in cancer research. In particular, new approaches to both Personalized Cancer Medicine and Targeted Therapies have made promising progress. While the Second Edition featured scholarly contributions from approximately 1.000 scientists/clinicians in four Volumes, the Third Edition includes 1.300 contributors in 7 Volumes with an A-Z format of approx. 7000 entries. It provides definitions of common acronyms and short definitions of related terms and processes in the form of keyword entries. In addition, there are detailed essays, which provide comprehensive information on syndromes, genes and molecules, and processes and methods. Each essay is well-structured, with extensive cross-referencing between all entries. In the Third Edition, topical Essays present a comprehensive picture of major cancers, such as Breast Cancer, Colorectal Cancer, Prostate Cancer, Ovarian Cancer, Renal Cancer, Lung Cancer, and Hematological Maligancies, Leukemias and Lymphomas. For each of these cancers, different authoritative Essays are included that cover topics ranging from Pathology, to Clinical Oncology and Targeted Therapies. This new feature should meet the expectance that a wide community has towards a major cancer reference works.
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The Encyclopedia of Cancer will be accessible both in print and online, and this information source should be of value to both the clinical and basic scientific community as well as to the public.