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.

Dettagli Bibliografici
Autori principali: Choudhury, Joydhriti, Roshni, Tanzima Rahman, Chowdhury, Md. Tawhidul Islam, Rayon, Raihanoor Reza
Altri autori: Mottalib, Md. Abdul
Natura: Tesi
Lingua:English
Pubblicazione: Brac University 2019
Soggetti:
Bioinformatics
Microarray
Gene expression
Phylogenetic tree
Hierarchical clustering
Distance metric
Linkage method
Cluster analysis.
Accesso online:http://hdl.handle.net/10361/12810

Accesso online

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

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