Optimized hybrid investigative based dimensionality reduction methods for malaria vector using KNN classifier

Optimized hybrid investigative based dimensionality reduction methods for malaria vector using KNN classifier

Abstract RNA-Seq data are utilized for biological applications and decision making for the classification of genes. A lot of works in recent time are focused on reducing the dimension of RNA-Seq data. Dimensionality reduction approaches have been proposed in the transformation of these data. In this...

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Bibliographic Details
Main Authors: Micheal Olaolu Arowolo, Marion Olubunmi Adebiyi, Ayodele Ariyo Adebiyi, Oludayo Olugbara
Format: Article
Language:English
Published: SpringerOpen 2021-02-01
Series:Journal of Big Data
Subjects:
Classification
Dimensionality reduction
Hybrid
Malaria Vector
Online Access:https://doi.org/10.1186/s40537-021-00415-z

Internet

https://doi.org/10.1186/s40537-021-00415-z

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