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Fundamentals Data Mining Genomics Proteomics by Dubitzky Werner (50 results)
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Fundamentals of Data Mining in Genomics and Proteomics.
Published by Springer, 2006
Language: English
Seller: Antiquariat Thomas Haker GmbH & Co. KG, Berlin, Germany
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Add to basketHardcover. Condition: Wie neu. 303 S., Like new. Shrink wrapped. / Wie neu. In Folie verschweißt. Sprache: Englisch Gewicht in Gramm: 780.
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Condition: New. pp. 306 Illus.
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Fundamentals of Data Mining In Genomics And Proteomics
Published by Springer Nature (Sie), 2009
ISBN 10: 8184891911 ISBN 13: 9788184891911
Language: English
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Fundamentals of Data Mining in Genomics and Proteomics
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Fundamentals of Data Mining in Genomics and Proteomics
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Fundamentals of Data Mining in Genomics and Proteomics
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Fundamentals of Data Mining in Genomics and Proteomics
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - As natural phenomena are being probed and mapped in ever-greater detail, scientists in genomics and proteomics are facing an exponentially growing vol ume of increasingly complex-structured data, information, and knowledge. Ex amples include data from microarray gene expression experiments, bead-based and microfluidic technologies, and advanced high-throughput mass spectrom etry. A fundamental challenge for life scientists is to explore, analyze, and interpret this information effectively and efficiently. To address this challenge, traditional statistical methods are being complemented by methods from data mining, machine learning and artificial intelligence, visualization techniques, and emerging technologies such as Web services and grid computing. There exists a broad consensus that sophisticated methods and tools from statistics and data mining are required to address the growing data analysis and interpretation needs in the life sciences. However, there is also a great deal of confusion about the arsenal of available techniques and how these should be used to solve concrete analysis problems. Partly this confusion is due to a lack of mutual understanding caused by the different concepts, languages, methodologies, and practices prevailing within the different disciplines.
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Fundamentals of Data Mining In Genomics And Proteomics
Published by Springer, 2007
Language: English
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Fundamentals of Data Mining in Genomics and Proteomics (Paperback)
Published by Springer-Verlag New York Inc., New York, NY, 2010
ISBN 10: 1441942912 ISBN 13: 9781441942913
Language: English
First Edition
£ 90.42
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Add to basketPaperback. Condition: new. Paperback. As natural phenomena are being probed and mapped in ever-greater detail, scientists in genomics and proteomics are facing an exponentially growing vol ume of increasingly complex-structured data, information, and knowledge. Ex amples include data from microarray gene expression experiments, bead-based and microfluidic technologies, and advanced high-throughput mass spectrom etry. A fundamental challenge for life scientists is to explore, analyze, and interpret this information effectively and efficiently. To address this challenge, traditional statistical methods are being complemented by methods from data mining, machine learning and artificial intelligence, visualization techniques, and emerging technologies such as Web services and grid computing. There exists a broad consensus that sophisticated methods and tools from statistics and data mining are required to address the growing data analysis and interpretation needs in the life sciences. However, there is also a great deal of confusion about the arsenal of available techniques and how these should be used to solve concrete analysis problems. Partly this confusion is due to a lack of mutual understanding caused by the different concepts, languages, methodologies, and practices prevailing within the different disciplines. As natural phenomena are being probed and mapped in ever-greater detail, scientists in genomics and proteomics are facing an exponentially growing vol ume of increasingly complex-structured data, information, and knowledge. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
