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

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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Bibliographic Details
Main Authors: Shamini Raja Kumaran, Mohd Shahizan Othman, Lizawati Mi Yusuf
Format: Article
Language:English
Published: UUM Press 2020-08-01
Series:Journal of ICT
Subjects:
Fuzzy C-means,
majority vote
missing values
microarray data
data optimisation
Online Access:https://e-journal.uum.edu.my/index.php/jict/article/view/12391

Internet

https://e-journal.uum.edu.my/index.php/jict/article/view/12391

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