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.

Bibliografski detalji
Glavni autori: Choudhury, Joydhriti, Roshni, Tanzima Rahman, Chowdhury, Md. Tawhidul Islam, Rayon, Raihanoor Reza
Daljnji autori: Mottalib, Md. Abdul
Format: Disertacija
Jezik:English
Izdano: Brac University 2019
Teme:
Bioinformatics
Microarray
Gene expression
Phylogenetic tree
Hierarchical clustering
Distance metric
Linkage method
Cluster analysis.
Online pristup:http://hdl.handle.net/10361/12810

Internet

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

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