Biological Data Mining

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Biological data mining

Biological data mining purports to extract useful knowledge from massive datasets gathered in biology, and in other related life sciences areas such as medicine and neuroscience. In the recent past, we have witnessed major transformations of these applied sciences into data-driven endeavors. For instance, the study of even a focused aspect of cellular activity, such as gene action, now benefits...

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Biological Data Mining

At the end of the 1980's a new discipline, named data mining, emerged. The introduction of new technologies such as computers, satellites, new mass storage media and many others have lead to an exponential growth of collected data. Traditional data analysis techniques often fail to process large amounts of-often noisy-data efficiently, in an exploratory fashion. The scope of data mining is the ...

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Parallel Data Mining of microarray biological data

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Biological knowledge discovery and data mining

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Additional Paper for " Biological Data Mining "

In this age of high-throughput sequencing, a huge amount of newly available protein data is being continuously submitted to protein databases. This data needs to be annotated in order to be made more useful and valuable for the users. Previously human experts manually handled this annotation task by a literature curation process mainly concerning protein descriptions such as names and synonyms,...

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ژورنال

عنوان ژورنال: Scientific Programming

سال: 2008

ISSN: 1058-9244,1875-919X

DOI: 10.1155/2008/897294