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.

Bibliographische Detailangaben
Hauptverfasser: Choudhury, Joydhriti, Roshni, Tanzima Rahman, Chowdhury, Md. Tawhidul Islam, Rayon, Raihanoor Reza
Weitere Verfasser: Mottalib, Md. Abdul
Format: Abschlussarbeit
Sprache:English
Veröffentlicht: Brac University 2019
Schlagworte:
Bioinformatics
Microarray
Gene expression
Phylogenetic tree
Hierarchical clustering
Distance metric
Linkage method
Cluster analysis.
Online Zugang:http://hdl.handle.net/10361/12810

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