| M. Frisch, K. Frech, A. Klingenhoff, K. Cartharius, I. Liebich, and T. Werner, "In silico prediction of scaffold/matrix attachment regions in large genomic sequences," Genome Res. vol. 12, 2002, pp. 349-354. |
....representing the feature vector using probabilistic values at each position of the data set. Since their introduction into biological sequence analysis, PWMs have been utilized as a standard method to represent the promoter signal [4, 5, 21] and have been successfully used for promoter prediction [7, 12, 14]. This representation has also been used to evaluate the transcription factor bindability of DNA sequences [23] The combination of positional weight matrices and neural network clustering algorithms was described initially to predict the O glycosylation sites in proteins [9] Murakami and Takagi ....
M. Frisch, K. Frech, A. Klingenhoff, K. Cartharius, I. Liebich, and T. Werner, "In silico prediction of scaffold/matrix attachment regions in large genomic sequences," Genome Res. vol. 12, 2002, pp. 349-354.
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