ESTIMATION OF MISSING VALUES USING OPTIMISED HYBRID FUZZY C-MEANS AND MAJORITY VOTE FOR MICROARRAY DATA

Missing values are a huge constraint in microarray technologies towards improving and identifying disease-causing genes. Estimating missing values is an undeniable scenario faced by field experts. The imputation method is an effective way to impute the proper values to proceed with the next process...

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Detalles Bibliográficos
Autores principales:	Shamini Raja Kumaran, Mohd Shahizan Othman, Lizawati Mi Yusuf
Formato:	article
Lenguaje:	EN
Publicado:	UUM Press 2020
Materias:	fuzzy c-means majority vote missing values microarray data data optimisation Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/f49774a11c4548b4b36183a8c53a4532
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ESTIMATION OF MISSING VALUES USING OPTIMISED HYBRID FUZZY C-MEANS AND MAJORITY VOTE FOR MICROARRAY DATA

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