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Advanced Data Mining Technologies in Bioinformatics
Advanced Data Mining Technologies in Bioinformatics
Knygos.lt klubas Knygos.lt nariams
152,38 €
-30%
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217,69 €
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The technologies in data mining have been applied to bioinformatics research in the past few years with success, but more research in this field is necessary. While tremendous progress has been made over the years, many of the fundamental challenges in bioinformatics are still open. Data mining plays a essential role in understanding the emerging problems in genomics, proteomics, and systems biology. Advanced Data Mining Technologies in Bioinformatics covers important research topics of data mi…
  • Leidėjas:
  • Metai: 2006
  • Puslapiai: 329
  • ISBN-10: 1591408636
  • ISBN-13: 9781591408635
  • Formatas: 18.3 x 26 x 2.4 cm, kieti viršeliai
  • Kalba: Anglų

Advanced Data Mining Technologies in Bioinformatics (el. knyga) (skaityta knyga) | knygos.lt

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The technologies in data mining have been applied to bioinformatics research in the past few years with success, but more research in this field is necessary. While tremendous progress has been made over the years, many of the fundamental challenges in bioinformatics are still open. Data mining plays a essential role in understanding the emerging problems in genomics, proteomics, and systems biology. Advanced Data Mining Technologies in Bioinformatics covers important research topics of data mining on bioinformatics. Readers of this book will gain an understanding of the basics and problems of bioinformatics, as well as the applications of data mining technologies in tackling the problems and the essential research topics in the field. Advanced Data Mining Technologies in Bioinformatics is extremely useful for data mining researchers, molecular biologists, graduate students, and others interested in this topic.

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  • Leidėjas:
  • Metai: 2006
  • Puslapiai: 329
  • ISBN-10: 1591408636
  • ISBN-13: 9781591408635
  • Formatas: 18.3 x 26 x 2.4 cm, kieti viršeliai
  • Kalba: Anglų

The technologies in data mining have been applied to bioinformatics research in the past few years with success, but more research in this field is necessary. While tremendous progress has been made over the years, many of the fundamental challenges in bioinformatics are still open. Data mining plays a essential role in understanding the emerging problems in genomics, proteomics, and systems biology. Advanced Data Mining Technologies in Bioinformatics covers important research topics of data mining on bioinformatics. Readers of this book will gain an understanding of the basics and problems of bioinformatics, as well as the applications of data mining technologies in tackling the problems and the essential research topics in the field. Advanced Data Mining Technologies in Bioinformatics is extremely useful for data mining researchers, molecular biologists, graduate students, and others interested in this topic.

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