Intellectual Mining of Patient Data with Melanoma for Identification of Disease Markers and Critical Genes

Genotypic (DNA mutations) and phenotyping data on patients with melanoma are analyzed to identify markers of early disease diagnosis and critical involved genes. An optimal mining method was chosen from those that are traditionally used in the field. This method allows one to analyze a set of terms....

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Bibliographic Details
Published in:Automatic documentation and mathematical linguistics 2019-09, Vol.53 (5), p.283-287
Main Authors: Chebanov, D. K., Mikhailova, I. N.
Format: Article
Language:English
Subjects:
Automation
Biomarkers
Computer Science
Data mining
Deoxyribonucleic acid
DNA
Genes
Information Storage and Retrieval
Melanoma
Mutation
The Jsm Method of Automated Research Support and Its Application in Intelligent Systems for Medicine
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Summary:Genotypic (DNA mutations) and phenotyping data on patients with melanoma are analyzed to identify markers of early disease diagnosis and critical involved genes. An optimal mining method was chosen from those that are traditionally used in the field. This method allows one to analyze a set of terms. Automatic and interactive approaches were performed, which both allow a considerable reduction in the computational requirements. New melanoma-associated genes and candidate relapse markers were identified. Data mining was performed with the JSM method of automated support of scientific research (JSM ASSR).
ISSN:0005-1055
1934-8371
DOI:10.3103/S0005105519050066