9786139460724 (10 resultados)

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Paperback. Condición: Brand New. 128 pages. 8.70x5.87x0.39 inches. In Stock.

Taschenbuch. Condición: Neu. An Approach to Find Variant Positions of TCF7L2 Gene Related to T2DM | Sri Venkateswara University, Tirupati | K. Vijayalakshmi (u. a.) | Taschenbuch | 128 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786139460724 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Condición: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Large amounts of operational data are routinely collected, stored away in the archives of many domains. This operational information can be processed and utilized for further analysis by various Data mining approaches. Recently, several techniques have been developed, used for early prediction of any disease. More significantly, Diabetes is a chronic metabolic disorder which affects the metabolism process of the body to maintain the glucose. T2DM is one type of diabetes caused due to insulin disorder. In this process, first micro array experiment data is collected from NCBI repository. Then, implement the modified sparse K-means clustering, PCAGA-RFR methods for grouping of clusters and feature set reduction to identify gene most relevant to T2DM among number of genes with sequence of steps: 1. Collection of Data from Repositories; 2. Implementation of Modified Sparse K-means method to select T2DM relevant gene; 3. Implementation of Hybrid PCAGA-RFR method to select T2DM relevant gene; 4. Confirmation of TCF7L2 Gene; 5. Identifying different positional changes for rs7903146 common Variant of TCF7L2 gene.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Large amounts of operational data are routinely collected, stored away in the archives of many domains. This operational information can be processed and utilized for further analysis by various Data mining approaches. Recently, several techniques have been developed, used for early prediction of any disease. More significantly, Diabetes is a chronic metabolic disorder which affects the metabolism process of the body to maintain the glucose. T2DM is one type of diabetes caused due to insulin disorder. In this process, first micro array experiment data is collected from NCBI repository. Then, implement the modified sparse K-means clustering, PCAGA-RFR methods for grouping of clusters and feature set reduction to identify gene most relevant to T2DM among number of genes with sequence of steps: 1. Collection of Data from Repositories; 2. Implementation of Modified Sparse K-means method to select T2DM relevant gene; 3. Implementation of Hybrid PCAGA-RFR method to select T2DM relevant gene; 4. Confirmation of TCF7L2 Gene; 5. Identifying different positional changes for rs7903146 common Variant of TCF7L2 gene. 128 pp. Englisch.

Condición: New. Print on Demand.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Vijayalakshmi K.Dr K. Vijaya Lakshmi is Assistant Professor in the Department of Computer Science, Sri Venkateshwara University, Tirupati. Her research interest is in the area of Data Bases, Software Engineering, Data Mining.Larg.

Condición: New. PRINT ON DEMAND.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Large amounts of operational data are routinely collected, stored away in the archives of many domains. This operational information can be processed and utilized for further analysis by various Data mining approaches. Recently, several techniques have been developed, used for early prediction of any disease. More significantly, Diabetes is a chronic metabolic disorder which affects the metabolism process of the body to maintain the glucose. T2DM is one type of diabetes caused due to insulin disorder. In this process, first micro array experiment data is collected from NCBI repository. Then, implement the modified sparse K-means clustering, PCAGA-RFR methods for grouping of clusters and feature set reduction to identify gene most relevant to T2DM among number of genes with sequence of steps: 1. Collection of Data from Repositories; 2. Implementation of Modified Sparse K-means method to select T2DM relevant gene; 3. Implementation of Hybrid PCAGA-RFR method to select T2DM relevant gene; 4. Confirmation of TCF7L2 Gene; 5. Identifying different positional changes for rs7903146 common Variant of TCF7L2 gene.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Large amounts of operational data are routinely collected, stored away in the archives of many domains. This operational information can be processed and utilized for further analysis by various Data mining approaches. Recently, several techniques have been developed, used for early prediction of any disease. More significantly, Diabetes is a chronic metabolic disorder which affects the metabolism process of the body to maintain the glucose. T2DM is one type of diabetes caused due to insulin disorder. In this process, first micro array experiment data is collected from NCBI repository. Then, implement the modified sparse K-means clustering, PCAGA-RFR methods for grouping of clusters and feature set reduction to identify gene most relevant to T2DM among number of genes with sequence of steps: 1. Collection of Data from Repositories; 2. Implementation of Modified Sparse K-means method to select T2DM relevant gene; 3. Implementation of Hybrid PCAGA-RFR method to select T2DM relevant gene; 4. Confirmation of TCF7L2 Gene; 5. Identifying different positional changes for rs7903146 common Variant of TCF7L2 gene.