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.

Bibliografiset tiedot
Päätekijät: Choudhury, Joydhriti, Roshni, Tanzima Rahman, Chowdhury, Md. Tawhidul Islam, Rayon, Raihanoor Reza
Muut tekijät: Mottalib, Md. Abdul
Aineistotyyppi: Opinnäyte
Kieli:English
Julkaistu: Brac University 2019
Aiheet:
Bioinformatics
Microarray
Gene expression
Phylogenetic tree
Hierarchical clustering
Distance metric
Linkage method
Cluster analysis.
Linkit:http://hdl.handle.net/10361/12810

Internet

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

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