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- W3089705400 abstract "Classification of DNA micro-array has been a popular approach of disease detection. Various fatal diseases such as cancer (colon, lungs, breast, and other parts) and tumor (brain and other parts) could be identified using this method. But choosing an appropriate set of gene expression for classification, out of huge gene set, is very much essential for enhancing identification accuracy and is an NP-Hard problem. Evolutionary algorithms have always been efficient in providing optimal solutions to NP-Hard problems. In this paper, various evolutionary algorithms based techniques for gene-expression analysis have been reviewed, explaining their basic working principle and objective, as well as some frequently used gene-expression datasets have been discussed." @default.
- W3089705400 created "2020-10-08" @default.
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- W3089705400 date "2020-10-04" @default.
- W3089705400 modified "2023-09-27" @default.
- W3089705400 title "Use of Evolutionary Algorithms for Detection of Fatal Diseases via DNA Micro-array Classification: A Review" @default.
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- W3089705400 doi "https://doi.org/10.1007/978-981-15-5397-4_65" @default.
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