A review of computational methods for clustering genes with similar biological functions

A review of computational methods for clustering genes with similar biological functions

Clustering techniques can group genes based on similarity in biological functions. However, the drawback of using clustering techniques is the inability to identify an optimal number of potential clusters beforehand. Several existing optimization techniques can address the issue. Besides, clustering...

Full description

Saved in:
Bibliographic Details
Main Authors: Hui, Wen Nies, Zakaria, Zalmiyah, Mohamad, Mohd. Saberi, Weng, Howe Chan, Zaki, Nazar, Sinnott, Richard O., Napis, Suhaimi, Chamoso, Pablo, Omatu, Sigeru, Corchado, Juan Manuel
Format: Article
Language:English
Published: MDPI AG 2019
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/89030/1/ZalmiyahZakaria2019_AReviewofComputationalMethodsforClusteringGenes.pdf
http://eprints.utm.my/id/eprint/89030/
http://dx.doi.org/10.3390/pr7090550
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Teknologi Malaysia
Language: English

Internet

http://eprints.utm.my/id/eprint/89030/1/ZalmiyahZakaria2019_AReviewofComputationalMethodsforClusteringGenes.pdf
http://eprints.utm.my/id/eprint/89030/
http://dx.doi.org/10.3390/pr7090550

Similar Items