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.

Bibliografische gegevens
Hoofdauteurs: Choudhury, Joydhriti, Roshni, Tanzima Rahman, Chowdhury, Md. Tawhidul Islam, Rayon, Raihanoor Reza
Andere auteurs: Mottalib, Md. Abdul
Formaat: Thesis
Taal:English
Gepubliceerd in: Brac University 2019
Onderwerpen:
Bioinformatics
Microarray
Gene expression
Phylogenetic tree
Hierarchical clustering
Distance metric
Linkage method
Cluster analysis.
Online toegang:http://hdl.handle.net/10361/12810

Internet

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

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