One of possible way to identify a putative functional motif in genomic DNA is based on the identification of statistically relevant features on primary sequence. This paper presents a new statistical approach that involve an Unsupervised Neural Classifier. This methodology appears capable of extracting statistically relevant information from the sequence. In this paper we test this methodology on a set taken from the Eukaryotic Promoter Database
The analysis of k-tuple distribution in the eukaryotic promoter database using the winner-take-all system
P Arrigo;
1995
Abstract
One of possible way to identify a putative functional motif in genomic DNA is based on the identification of statistically relevant features on primary sequence. This paper presents a new statistical approach that involve an Unsupervised Neural Classifier. This methodology appears capable of extracting statistically relevant information from the sequence. In this paper we test this methodology on a set taken from the Eukaryotic Promoter DatabaseFile in questo prodotto:
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Descrizione: The analysis of k-tuple distribution in the eukaryotic promoter database using the winner-take-all system
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