Gene Selection For Cancer Classification Based On Xgboost Classifier
Gene selection is the technique that applied to the gene selection dataset, such as DNA microarray, which is develop to reduce the less informative gene, so that the selected gene is related to the disease diagnosis. While the cancer classification is a process of identifying the type of cancer, and...
Saved in:
Main Author: | Teo, Voon Chuan |
---|---|
Format: | Undergraduates Project Papers |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/40551/1/CB19055.pdf http://umpir.ump.edu.my/id/eprint/40551/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Dimension reduction and classifier-based feature selection for oversampled gene expression data and cancer classification
by: Petinrin, Olutomilayo Olayemi, et al.
Published: (2023) -
Particle swarm optimization for gene selection in classifying cancer classes
by: Mohamad, Mohd. Saberi, et al.
Published: (2009) -
A review of gene selection tools in classifying cancer microarray data
by: Shi, T. W., et al.
Published: (2017) -
An enhancement of binary particle swarm optimization for gene selection in classifying cancer classes
by: Mohamad, Mohd. Saberi, et al.
Published: (2013) -
An improved binary particle swarm optimisation for gene selection in classifying cancer classes
by: Mohamad, Mohd. Saberi, et al.
Published: (2009)