miRNA Pattern Discovery from Sequence Alignment
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참고문헌
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초록
MiRNA is a biological short sequence, which plays a crucial role in almost all important biological process. MiRNA patterns are common sequence segments of multiple mature miRNA sequences, and they are ofsignificance in identifying miRNAs due to the functional implication in miRNA patterns. In the proposedapproach, the primary miRNA patterns are produced from sequence alignment, and they are then cut intoshort segment miRNA patterns. From the segment miRNA patterns, the candidate miRNA patterns areselected based on estimated probability, and from which, the potential miRNA patterns are further selectedaccording to the classification performance between authentic and artificial miRNA sequences. Threeparameters are suggested that bi-nucleotides are employed to compute the estimated probability of segmentmiRNA patterns, and top 1% segment miRNA patterns of length four in the order of estimated probabilitiesare selected as potential miRNA patterns.
Abstract
MiRNA is a biological short sequence, which plays a crucial role in almost all important biological process. MiRNA patterns are common sequence segments of multiple mature miRNA sequences, and they are ofsignificance in identifying miRNAs due to the functional implication in miRNA patterns. In the proposedapproach, the primary miRNA patterns are produced from sequence alignment, and they are then cut intoshort segment miRNA patterns. From the segment miRNA patterns, the candidate miRNA patterns areselected based on estimated probability, and from which, the potential miRNA patterns are further selectedaccording to the classification performance between authentic and artificial miRNA sequences. Threeparameters are suggested that bi-nucleotides are employed to compute the estimated probability of segmentmiRNA patterns, and top 1% segment miRNA patterns of length four in the order of estimated probabilitiesare selected as potential miRNA patterns.
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