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.

Библиографические подробности
Главные авторы:	Choudhury, Joydhriti, Roshni, Tanzima Rahman, Chowdhury, Md. Tawhidul Islam, Rayon, Raihanoor Reza
Другие авторы:	Mottalib, Md. Abdul
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2019
Предметы:	Bioinformatics Microarray Gene expression Phylogenetic tree Hierarchical clustering Distance metric Linkage method Cluster analysis.
Online-ссылка:	http://hdl.handle.net/10361/12810

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