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AssigneeQilu University of Technology
InventorsXiangjun DONG, Yue LU
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A similarity analysis method of negative sequential patterns based on biological sequences and its implementation system and medium comprises: (1) Data preprocessing: represent the letters in the DNA sequence with numbers; divide the sequence represented by numbers into several blocks as datasets for frequent pattern mining; (2) Frequent pattern mining: utilize the f-NSP algorithm to mine the data sets; (3) Represent the maximum frequent positive and negative sequential patterns graphically; convert the maximum frequent positive and negative sequential patterns into number sequences; (4) Similarity analysis of DNA sequence: calculate the similarity of different DNA sequences; select the DNA sequence corresponding to the minimum similarity as the sequence to be studied.
A similarity analysis method of negative sequential patterns based on biological sequences, which is characterized in that it comprises steps as follows:
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