Cardiovascular diseases are becoming a key concern globally over an era across all non-communicable diseases. Cardiovascular diseases have been occurring around the world due to some widespread risk variables. Diseases have such a genetic association emerging from equivalent risk factors, either indirectly or directly. If a gene loses its normal activity and adversely affects the body a disease is caused. Currently, it is observed that the inability of a disease through the protein-protein interaction is more fruitful than the single gene. Multiple scientific studies have uncovered tactics to use advanced Bioinformatics strategies and tools in network biology to construct a structure-based drug from crucial biomolecule or protein for diseases. This study determines the protein-protein interaction network and designs a common pathway drug for all types of cardiovascular diseases. The data mining application called knowledge discovery in database has been performed and genes are filtered, pre-processed, converted and mined to locate common genes for all types of cardiovascular diseases. To accomplish the goal, Unihi is used as a tool.
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Cardiovascular diseases are becoming a key concern globally over an era across all non-communicable diseases. Cardiovascular diseases have been occurring around the world due to some widespread risk variables. Diseases have such a genetic association emerging from equivalent risk factors, either indirectly or directly. If a gene loses its normal activity and adversely affects the body a disease is caused. Currently, it is observed that the inability of a disease through the protein-protein interaction is more fruitful than the single gene. Multiple scientific studies have uncovered tactics to use advanced Bioinformatics strategies and tools in network biology to construct a structure-based drug from crucial biomolecule or protein for diseases. This study determines the protein-protein interaction network and designs a common pathway drug for all types of cardiovascular diseases. The data mining application called knowledge discovery in database has been performed and genes are filtered, pre-processed, converted and mined to locate common genes for all types of cardiovascular diseases. To accomplish the goal, Unihi is used as a tool. 56 pp. Englisch. Seller Inventory # 9786200251794
Seller: Revaluation Books, Exeter, United Kingdom
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Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mustanjid Al -Al - Mustanjid was born in Bangladesh and he is an expert in Network Biology. He has research interest in Bioinformatics, Software Development Life Cycle (SDLC), Data Mining and Statistical Analysis.Cardiovascular d. Seller Inventory # 385886336
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Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Cardiovascular diseases are becoming a key concern globally over an era across all non-communicable diseases. Cardiovascular diseases have been occurring around the world due to some widespread risk variables. Diseases have such a genetic association emerging from equivalent risk factors, either indirectly or directly. If a gene loses its normal activity and adversely affects the body a disease is caused. Currently, it is observed that the inability of a disease through the protein-protein interaction is more fruitful than the single gene. Multiple scientific studies have uncovered tactics to use advanced Bioinformatics strategies and tools in network biology to construct a structure-based drug from crucial biomolecule or protein for diseases. This study determines the protein-protein interaction network and designs a common pathway drug for all types of cardiovascular diseases. The data mining application called knowledge discovery in database has been performed and genes are filtered, pre-processed, converted and mined to locate common genes for all types of cardiovascular diseases. To accomplish the goal, Unihi is used as a tool. Seller Inventory # 9786200251794
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Cardiovascular diseases are becoming a key concern globally over an era across all non-communicable diseases. Cardiovascular diseases have been occurring around the world due to some widespread risk variables. Diseases have such a genetic association emerging from equivalent risk factors, either indirectly or directly. If a gene loses its normal activity and adversely affects the body a disease is caused. Currently, it is observed that the inability of a disease through the protein-protein interaction is more fruitful than the single gene. Multiple scientific studies have uncovered tactics to use advanced Bioinformatics strategies and tools in network biology to construct a structure-based drug from crucial biomolecule or protein for diseases. This study determines the protein-protein interaction network and designs a common pathway drug for all types of cardiovascular diseases. The data mining application called knowledge discovery in database has been performed and genes are filtered, pre-processed, converted and mined to locate common genes for all types of cardiovascular diseases. To accomplish the goal, Unihi is used as a tool.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch. Seller Inventory # 9786200251794
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. A Common Pathway Drug Design for all types of Cardiovascular Diseases | A Network Biology Approach | Al Mustanjid (u. a.) | Taschenbuch | 56 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200251794 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 117264579