Using Manhattan distance and standard deviation for expressed sequence tag clustering
An explosion of genomic data in recent years has necessitated the novel application of old algorithms and the development of new algorithms in order to process and understand this information. One specific type of data comes in the form of expressed sequence tags (ESTs) which have significant bio...
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| Format: | Others |
| Language: | en |
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2011
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| Online Access: | http://hdl.handle.net/10539/10272 |