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Get A Aa - Engineering Letters

Omic Clustering Using Unsupervised Neural Learning Shreyas Sen, Seetharam Narasimhan, and Amit Konar Abstract The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four types of bases: A, T, C and G. These keywords are searched on N randomly sampled genome sequences, each of a given length (10,000 elements) and the frequency count for each of the 43 64 keywords is performed to o.

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  • 2000
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