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

• 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
• Institution: Universiti Teknologi Malaysia

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...