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.

Detalhes bibliográficos
Principais autores: Choudhury, Joydhriti, Roshni, Tanzima Rahman, Chowdhury, Md. Tawhidul Islam, Rayon, Raihanoor Reza
Outros Autores: Mottalib, Md. Abdul
Formato: Tese
Idioma:English
Publicado em: Brac University 2019
Assuntos:
Bioinformatics
Microarray
Gene expression
Phylogenetic tree
Hierarchical clustering
Distance metric
Linkage method
Cluster analysis.
Acesso em linha:http://hdl.handle.net/10361/12810

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