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- W2912396781 abstract "To compare multiple genome sequences, we transform each primary genome sequence into corresponding k -mer-based vectors. According to the principle of independent component analysis (ICA), the operation can be regarded as mixing multiple source genomic signals via several sensors, through which we can obtain the mixed vectors with equal-length from the corresponding genome sequences with different length. However, this mixing operation is performed by counting all the k -mer-based frequencies, instead of using real hardware of sensors. Thus, we name this preprocessing operation as virtual mixer (VM). Using ICA-based transformation, we projected all the vectors upon their independent components to capture the coefficients-based feature vector through the projection extractor (PE), which has been proved to have a property of distance preserving. Then, we used the proposed VMPE model upon three representative real datasets of genome sequence to test the efficiency for the model. The contrastive analysis results indicate that the proposed VMPE model performs well in similarity analysis." @default.
- W2912396781 created "2019-02-21" @default.
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- W2912396781 date "2018-11-08" @default.
- W2912396781 modified "2023-10-18" @default.
- W2912396781 title "Comparison of genome sequences via projection extractor upon virtual mixer" @default.
- W2912396781 doi "https://doi.org/10.7287/peerj.preprints.27333v1" @default.
- W2912396781 hasPublicationYear "2018" @default.
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