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Sinopsis
Individual independent analysis results in Genetic aetiology of complex trait unexplained, which results in limited understanding of complex traits. Combined Multiple data Analysis results in compensate for missing /unreliable information, reduced rate of getting false positive and identify genetic variation in complex traits. Data Integration is the process by which different types of omic data are combined as predictor variable, which results in more through and comprehensive modeling of complex traits or phenotypes.
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Acerca del autor
Tripti Swarnkar is currently an Associate Professor of Computer Application at the ITER, Siksha ‘O’ Anusandhan University, Bhubaneswar, India. her PhD. degree from Indian Institute of Technology, Kharagpur, India, in August 2015. Currently, her research interest includes Machine Learning, Data Mining and Computational Biology.
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- EditorialLAP LAMBERT Academic Publishing
- Año de publicación2016
- ISBN 10 3659860387
- ISBN 13 9783659860386
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas172
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Unsupervised Learning for Gene Selection and Enrichment
Publicado por
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659860387
ISBN 13: 9783659860386
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: 158963126
Cantidad disponible: Más de 20 disponibles
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Unsupervised Learning for Gene Selection and Enrichment
Publicado por
LAP LAMBERT Academic Publishing Mrz 2016, 2016
ISBN 10: 3659860387
ISBN 13: 9783659860386
Nuevo
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Individual independent analysis results in Genetic aetiology of complex trait unexplained, which results in limited understanding of complex traits. Combined Multiple data Analysis results in compensate for missing /unreliable information, reduced rate of getting false positive and identify genetic variation in complex traits. Data Integration is the process by which different types of omic data are combined as predictor variable, which results in more through and comprehensive modeling of complex traits or phenotypes. 172 pp. Englisch. Nº de ref. del artículo: 9783659860386
Cantidad disponible: 2 disponibles
Imagen del vendedor
Unsupervised Learning for Gene Selection and Enrichment
Publicado por
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659860387
ISBN 13: 9783659860386
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Individual independent analysis results in Genetic aetiology of complex trait unexplained, which results in limited understanding of complex traits. Combined Multiple data Analysis results in compensate for missing /unreliable information, reduced rate of getting false positive and identify genetic variation in complex traits. Data Integration is the process by which different types of omic data are combined as predictor variable, which results in more through and comprehensive modeling of complex traits or phenotypes. Nº de ref. del artículo: 9783659860386
Cantidad disponible: 1 disponibles
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Unsupervised Learning for Gene Selection and Enrichment
Publicado por
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659860387
ISBN 13: 9783659860386
Nuevo
Paperback
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Brand New. 172 pages. 8.66x5.91x0.39 inches. In Stock. Nº de ref. del artículo: 3659860387
Cantidad disponible: 1 disponibles