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.

Opis bibliograficzny
Główni autorzy:	Choudhury, Joydhriti, Roshni, Tanzima Rahman, Chowdhury, Md. Tawhidul Islam, Rayon, Raihanoor Reza
Kolejni autorzy:	Mottalib, Md. Abdul
Format:	Praca dyplomowa
Język:	English
Wydane:	Brac University 2019
Hasła przedmiotowe:	Bioinformatics Microarray Gene expression Phylogenetic tree Hierarchical clustering Distance metric Linkage method Cluster analysis.
Dostęp online:	http://hdl.handle.net/10361/12810

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