Heuristic breadth-first searching method for cancer-related genes
A breadth-first, tumor gene technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as algorithm infeasibility, dimension disaster, overfitting, etc., to achieve accurate diagnosis and individuality The effect of chemotherapy
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[0028] In order to better explain the technical solution, the present invention first formally describes the classification problem to be solved, introduces the search strategy of the HBSA algorithm, and further provides the implementation process of the HBSA algorithm. On this basis, an integrated classifier construction method based on HBSA and a gene sequencing method based on HBSA were designed to obtain unbiased prediction accuracy and discover important tumor-related genes. Experimental results have shown the feasibility and effectiveness of the technical solution of the present invention. The superiority of this method is shown by comparing with other related methods. Biomedical analysis of selected genes can be further justified in three aspects (function of individual genes, pathway analysis and protein network).
[0029] 1. Problem description
[0030] Let G={g 1 ,...,g n} represents a group of genes, set S={s 1 ,...,s m} represents a set of samples. Where |G|...
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