Identifying the best metrics to find the best quality clusters of genes from gene expression data

Identifying the best metrics to find the best quality clusters of genes from gene expression data

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.

Dettagli Bibliografici
Autori principali:	Choudhury, Joydhriti, Roshni, Tanzima Rahman, Chowdhury, Md. Tawhidul Islam, Rayon, Raihanoor Reza
Altri autori:	Mottalib, Md. Abdul
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2019
Soggetti:	Bioinformatics Microarray Gene expression Phylogenetic tree Hierarchical clustering Distance metric Linkage method Cluster analysis.
Accesso online:	http://hdl.handle.net/10361/12810

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