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.

書誌詳細
主要な著者:	Choudhury, Joydhriti, Roshni, Tanzima Rahman, Chowdhury, Md. Tawhidul Islam, Rayon, Raihanoor Reza
その他の著者:	Mottalib, Md. Abdul
フォーマット:	学位論文
言語:	English
出版事項:	Brac University 2019
主題:	Bioinformatics Microarray Gene expression Phylogenetic tree Hierarchical clustering Distance metric Linkage method Cluster analysis.
オンライン･アクセス:	http://hdl.handle.net/10361/12810

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