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.

Dades bibliogràfiques
Autors principals:	Choudhury, Joydhriti, Roshni, Tanzima Rahman, Chowdhury, Md. Tawhidul Islam, Rayon, Raihanoor Reza
Altres autors:	Mottalib, Md. Abdul
Format:	Thesis
Idioma:	English
Publicat:	Brac University 2019
Matèries:	Bioinformatics Microarray Gene expression Phylogenetic tree Hierarchical clustering Distance metric Linkage method Cluster analysis.
Accés en línia:	http://hdl.handle.net/10361/12810

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