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

Internet

http://hdl.handle.net/10361/12810

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