Article ; Online: Research on Cancer Molecular Typing Based on High-Throughput Sequencing Technology.
Computational and mathematical methods in medicine
2021 Volume 2021, Page(s) 9941475
Abstract: This paper studies the role of high-throughput measurement technology in cancer molecular typing. Based on the Dendrix algorithm, the model proposed in this paper selects the gene replication time as an inherent attribute that affects the frequency of ... ...
Abstract | This paper studies the role of high-throughput measurement technology in cancer molecular typing. Based on the Dendrix algorithm, the model proposed in this paper selects the gene replication time as an inherent attribute that affects the frequency of gene mutations and adds it to the model. After setting the size of the gene set, compared with the Dendrix algorithm, the model does not need to delete the gene set that has been found in the process of searching the pathway, and it can find more driving pathway gene sets. Based on the high coverage and high exclusivity of the driving gene set in the pathway and the influence of gene covariates, this paper constructs an adaptive multiobjective optimization model. In order to overcome the problem of gene mutation heterogeneity, this model introduces gene covariates as the weight of gene mutation frequency so that the model is adaptive to each gene. The analysis of the research results shows the reliability of high-throughput sequencing technology. |
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MeSH term(s) | Algorithms ; High-Throughput Nucleotide Sequencing ; Humans ; Molecular Typing ; Neoplasms/genetics ; Reproducibility of Results ; Technology |
Language | English |
Publishing date | 2021-12-07 |
Publishing country | United States |
Document type | Journal Article |
ZDB-ID | 2252430-7 |
ISSN | 1748-6718 ; 1748-670X ; 1027-3662 |
ISSN (online) | 1748-6718 |
ISSN | 1748-670X ; 1027-3662 |
DOI | 10.1155/2021/9941475 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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