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Biomedical Knowledge Base for Genomic & Proteomic Analysis Using Graph: Gene Analysis Graph Theory - Softcover
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Biomedical Knowledge Base for Genomic & Proteomic Analysis Using Graph
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LAP LAMBERT Academic Publishing Nov 2019, 2019
ISBN 10: 6200458626
ISBN 13: 9786200458629
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Image segmentation is emerging as an intriguing and throught provoking topic in the field of Computer Science and Engineering. Density based clustering algorithm has been used for image segmentation in this research. Gene analysis has a huge scope in identifying the genetic disorders early and preform the respective diagnosis. Gene regulatory modules microRNA (miRNA) and transcription factor (TF) play a very important role in gene regulation. Moreover, Clustering is a main challenge in gene analysis. This challenge reflects a huge effect on genetic field. Thus in existing system the multiple genomic and proteomic analysis are scattered in multiple distributed systems. In this research, a common knowledge base for genomic and proteomic analysis using graph clustering, collaborative filtering (CF) and Depth First Search (DFS) is developed to group the genes and regulatory modules for each and every gene expression. Finally, the challenge of deriving taxonomy for a particular gene id is resolved using Bayesian Rose Tree (BRT). The main aim of the research is to serve for the medical industry by combining the image segmentation technology and gene ontology. 144 pp. Englisch. Seller Inventory # 9786200458629
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Biomedical Knowledge Base for Genomic & Proteomic Analysis Using Graph
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LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200458626
ISBN 13: 9786200458629
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Biomedical Knowledge Base for Genomic & Proteomic Analysis Using Graph : Gene Analysis Graph Theory
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200458626
ISBN 13: 9786200458629
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Image segmentation is emerging as an intriguing and throught provoking topic in the field of Computer Science and Engineering. Density based clustering algorithm has been used for image segmentation in this research. Gene analysis has a huge scope in identifying the genetic disorders early and preform the respective diagnosis. Gene regulatory modules microRNA (miRNA) and transcription factor (TF) play a very important role in gene regulation. Moreover, Clustering is a main challenge in gene analysis. This challenge reflects a huge effect on genetic field. Thus in existing system the multiple genomic and proteomic analysis are scattered in multiple distributed systems. In this research, a common knowledge base for genomic and proteomic analysis using graph clustering, collaborative filtering (CF) and Depth First Search (DFS) is developed to group the genes and regulatory modules for each and every gene expression. Finally, the challenge of deriving taxonomy for a particular gene id is resolved using Bayesian Rose Tree (BRT). The main aim of the research is to serve for the medical industry by combining the image segmentation technology and gene ontology. Seller Inventory # 9786200458629
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Biomedical Knowledge Base for Genomic & Proteomic Analysis Using Graph: Gene Analysis Graph Theory
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200458626
ISBN 13: 9786200458629
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Biomedical Knowledge Base for Genomic & Proteomic Analysis Using Graph: Gene Analysis Graph Theory
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200458626
ISBN 13: 9786200458629
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Biomedical Knowledge Base for Genomic & Proteomic Analysis Using Graph: Gene Analysis Graph Theory
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200458626
ISBN 13: 9786200458629
New
Softcover
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Biomedical Knowledge Base for Genomic & Proteomic Analysis Using Graph
Published by
LAP LAMBERT Academic Publishing Nov 2019, 2019
ISBN 10: 6200458626
ISBN 13: 9786200458629
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Image segmentation is emerging as an intriguing and throught provoking topic in the field of Computer Science and Engineering. Density based clustering algorithm has been used for image segmentation in this research. Gene analysis has a huge scope in identifying the genetic disorders early and preform the respective diagnosis. Gene regulatory modules microRNA (miRNA) and transcription factor (TF) play a very important role in gene regulation. Moreover, Clustering is a main challenge in gene analysis. This challenge reflects a huge effect on genetic field. Thus in existing system the multiple genomic and proteomic analysis are scattered in multiple distributed systems. In this research, a common knowledge base for genomic and proteomic analysis using graph clustering, collaborative filtering (CF) and Depth First Search (DFS) is developed to group the genes and regulatory modules for each and every gene expression. Finally, the challenge of deriving taxonomy for a particular gene id is resolved using Bayesian Rose Tree (BRT). The main aim of the research is to serve for the medical industry by combining the image segmentation technology and gene ontology.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 144 pp. Englisch. Seller Inventory # 9786200458629
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Biomedical Knowledge Base for Genomic & Proteomic Analysis Using Graph | Gene Analysis Graph Theory
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200458626
ISBN 13: 9786200458629
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Taschenbuch
Seller: preigu, Osnabrück, Germany
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Taschenbuch. Condition: Neu. Biomedical Knowledge Base for Genomic & Proteomic Analysis Using Graph | Gene Analysis Graph Theory | K. Venkata Subramanian (u. a.) | Taschenbuch | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200458629 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 120472604