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- W3008596148 abstract "Bioinformatics [1] is now one of the fastest growing and most promising interdisciplinary fields of science, providing the methods and software tools to get insights into information processing in living organisms. This field tries to apply well-established methods from various domains but also develop new algorithms that enable a better understanding of biological data. With the advent of high throughput technologies, it is possible to obtain huge amounts of genomic data in a relatively easy and cheap way. Among the many types of omics data, gene expression data are the most readily analyzed as expression profiles and are perceived as extremely useful in a precise diagnosis (e.g., cancer subtype differentiation) and personalized treatment." @default.
- W3008596148 created "2020-03-06" @default.
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- W3008596148 date "2019-01-01" @default.
- W3008596148 modified "2023-10-17" @default.
- W3008596148 title "Multi-test Decision Trees for Gene Expression Data" @default.
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- W3008596148 doi "https://doi.org/10.1007/978-3-030-21851-5_7" @default.
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