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.

Détails bibliographiques
Auteurs principaux: Choudhury, Joydhriti, Roshni, Tanzima Rahman, Chowdhury, Md. Tawhidul Islam, Rayon, Raihanoor Reza
Autres auteurs: Mottalib, Md. Abdul
Format: Thèse
Langue:English
Publié: Brac University 2019
Sujets:
Bioinformatics
Microarray
Gene expression
Phylogenetic tree
Hierarchical clustering
Distance metric
Linkage method
Cluster analysis.
Accès en ligne:http://hdl.handle.net/10361/12810

Internet

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

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