Developing Networks in Obesity using Text Mining: Developing networks in obesity and related disorders such as diabetes, PCOD & hypertension using text mining systems - Brossura
Sinossi
Obesity is a global epidemic affecting over 1.5 billion people and is one of the risk factors for several diseases such as Type 2 diabetes mellitus and hypertension. Despite measures taken by public health authorities to control obesity, number of people affected with obesity and its related disorders are increasing at alarming rate. It is imperative therefore to understand the molecular pathophysiology of obesity prior to undertaking any containment measures. This book summarizes our research work for developing a system with the capability to mine an extensive corpus of scientific articles and produce a network of genes implicated in a given disease. The system has been developed taking Obesity as a test case. The constructed network holds a central place in understanding the pathophysiology of Obesity and will serve as an important tool for the identification of drug targets. This work has been further extended to seven other obesity related disorders (Diabetes Mellitus II, Cholelithiasis, Hypertension, Hyperlipidemia, Polycystic Ovarian Syndrome, Osteoarthritis and Fatty Liver) and four control sets (Rheumatoid Arthritis, Contact Dermatitis, Asthma and Urticaria).
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L'autore
Dr. Kamal Rawal [PhD-Bioinformatics & Degree in medicine] is an interdisciplinary clinical scientist with interests in disease networks. He integrates advances in sciences in his medical practice. He has published several papers in prestigious international journals and has been invited to deliver talks in international and national conferences.
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Developing Networks in Obesity using Text Mining
Editore:
LAP LAMBERT Academic Publishing Sep 2014, 2014
ISBN 10: 3659596833
ISBN 13: 9783659596834
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Obesity is a global epidemic affecting over 1.5 billion people and is one of the risk factors for several diseases such as Type 2 diabetes mellitus and hypertension. Despite measures taken by public health authorities to control obesity, number of people affected with obesity and its related disorders are increasing at alarming rate. It is imperative therefore to understand the molecular pathophysiology of obesity prior to undertaking any containment measures. This book summarizes our research work for developing a system with the capability to mine an extensive corpus of scientific articles and produce a network of genes implicated in a given disease. The system has been developed taking Obesity as a test case. The constructed network holds a central place in understanding the pathophysiology of Obesity and will serve as an important tool for the identification of drug targets. This work has been further extended to seven other obesity related disorders (Diabetes Mellitus II, Cholelithiasis, Hypertension, Hyperlipidemia, Polycystic Ovarian Syndrome, Osteoarthritis and Fatty Liver) and four control sets (Rheumatoid Arthritis, Contact Dermatitis, Asthma and Urticaria). 64 pp. Englisch. Codice articolo 9783659596834
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Developing Networks in Obesity using Text Mining
Editore:
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659596833
ISBN 13: 9783659596834
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Brossura
Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rawal KamalDr. Kamal Rawal [PhD-Bioinformatics & Degree in medicine] is an interdisciplinary clinical scientist with interests in disease networks. He integrates advances in sciences in his medical practice. He has published several. Codice articolo 5167555
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Developing Networks in Obesity using Text Mining
Editore:
LAP LAMBERT Academic Publishing Sep 2014, 2014
ISBN 10: 3659596833
ISBN 13: 9783659596834
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Obesity is a global epidemic affecting over 1.5 billion people and is one of the risk factors for several diseases such as Type 2 diabetes mellitus and hypertension. Despite measures taken by public health authorities to control obesity, number of people affected with obesity and its related disorders are increasing at alarming rate. It is imperative therefore to understand the molecular pathophysiology of obesity prior to undertaking any containment measures. This book summarizes our research work for developing a system with the capability to mine an extensive corpus of scientific articles and produce a network of genes implicated in a given disease. The system has been developed taking Obesity as a test case. The constructed network holds a central place in understanding the pathophysiology of Obesity and will serve as an important tool for the identification of drug targets. This work has been further extended to seven other obesity related disorders (Diabetes Mellitus II, Cholelithiasis, Hypertension, Hyperlipidemia, Polycystic Ovarian Syndrome, Osteoarthritis and Fatty Liver) and four control sets (Rheumatoid Arthritis, Contact Dermatitis, Asthma and Urticaria).Books on Demand GmbH, Überseering 33, 22297 Hamburg 64 pp. Englisch. Codice articolo 9783659596834
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Developing Networks in Obesity using Text Mining : Developing networks in obesity and related disorders such as diabetes, PCOD & hypertension using text mining systems
Editore:
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659596833
ISBN 13: 9783659596834
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Obesity is a global epidemic affecting over 1.5 billion people and is one of the risk factors for several diseases such as Type 2 diabetes mellitus and hypertension. Despite measures taken by public health authorities to control obesity, number of people affected with obesity and its related disorders are increasing at alarming rate. It is imperative therefore to understand the molecular pathophysiology of obesity prior to undertaking any containment measures. This book summarizes our research work for developing a system with the capability to mine an extensive corpus of scientific articles and produce a network of genes implicated in a given disease. The system has been developed taking Obesity as a test case. The constructed network holds a central place in understanding the pathophysiology of Obesity and will serve as an important tool for the identification of drug targets. This work has been further extended to seven other obesity related disorders (Diabetes Mellitus II, Cholelithiasis, Hypertension, Hyperlipidemia, Polycystic Ovarian Syndrome, Osteoarthritis and Fatty Liver) and four control sets (Rheumatoid Arthritis, Contact Dermatitis, Asthma and Urticaria). Codice articolo 9783659596834
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Developing Networks in Obesity using Text Mining: Developing networks in obesity and related disorders such as diabetes, PCOD & hypertension using text mining systems
Editore:
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659596833
ISBN 13: 9783659596834
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA79636595968336
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