9786137336137 - dna based disease prediction using pathway analysis de suresha, sushma m. (8 resultados)

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Taschenbuch. Condición: Neu. DNA based Disease Prediction using Pathway Analysis | Sushma M. Suresha | Taschenbuch | 60 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786137336137 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In today's world of biology and medicine, DNA has become an extremely useful tool for predicting a disease. Most diseases are not triggered by a single gene but by a combination of genes together. Most disease phenotypes are genetic…ally complex, with contributions from combinations of genetic variation in different loci. A fundamental problem in human health is to predict the effect of genes that cause disease; this is an important step to diagnosis and treatment. In this project, we propose an approach to predict the diseases occurring due to mutations even before it has surfaced and detected in other tests. Our proposed system takes into consideration only those genes which can have an impact on the cause of the diseases to a fairly large extent and hence remove negligible data. Consideration of prominent genes is done by applying Bayesian Network, specifically using concepts of pathway analysis which provides a pathway of the causal gene and the supporting (associated) genes. 60 pp. Englisch.

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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Suresha Sushma M.Sushma M. Suresha is a graduate from Vishvesvaraya Technological University, Karnataka, India. Currently working as a software engineer at Robert Bosch Engineering and Business Solution…s private limited, Bengaluru. A.

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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In today's world of biology and medicine, DNA has become an extremely useful tool for predicting a disease. Most diseases are not triggered by a single gene but by a combination of genes together. Most disease phenotypes are genetically… complex, with contributions from combinations of genetic variation in different loci. A fundamental problem in human health is to predict the effect of genes that cause disease; this is an important step to diagnosis and treatment. In this project, we propose an approach to predict the diseases occurring due to mutations even before it has surfaced and detected in other tests. Our proposed system takes into consideration only those genes which can have an impact on the cause of the diseases to a fairly large extent and hence remove negligible data. Consideration of prominent genes is done by applying Bayesian Network, specifically using concepts of pathway analysis which provides a pathway of the causal gene and the supporting (associated) genes.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.

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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In today's world of biology and medicine, DNA has become an extremely useful tool for predicting a disease. Most diseases are not triggered by a single gene but by a combination of genes together. Most disease phenotypes are genetically…complex, with contributions from combinations of genetic variation in different loci. A fundamental problem in human health is to predict the effect of genes that cause disease; this is an important step to diagnosis and treatment. In this project, we propose an approach to predict the diseases occurring due to mutations even before it has surfaced and detected in other tests. Our proposed system takes into consideration only those genes which can have an impact on the cause of the diseases to a fairly large extent and hence remove negligible data. Consideration of prominent genes is done by applying Bayesian Network, specifically using concepts of pathway analysis which provides a pathway of the causal gene and the supporting (associated) genes.

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