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.

Detalles Bibliográficos
Autores principales: Choudhury, Joydhriti, Roshni, Tanzima Rahman, Chowdhury, Md. Tawhidul Islam, Rayon, Raihanoor Reza
Otros Autores: Mottalib, Md. Abdul
Formato: Tesis
Lenguaje:English
Publicado: Brac University 2019
Materias:
Bioinformatics
Microarray
Gene expression
Phylogenetic tree
Hierarchical clustering
Distance metric
Linkage method
Cluster analysis.
Acceso en línea:http://hdl.handle.net/10361/12810

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