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.

Xehetasun bibliografikoak
Egile Nagusiak: Choudhury, Joydhriti, Roshni, Tanzima Rahman, Chowdhury, Md. Tawhidul Islam, Rayon, Raihanoor Reza
Beste egile batzuk: Mottalib, Md. Abdul
Formatua: Thesis
Hizkuntza:English
Argitaratua: Brac University 2019
Gaiak:
Bioinformatics
Microarray
Gene expression
Phylogenetic tree
Hierarchical clustering
Distance metric
Linkage method
Cluster analysis.
Sarrera elektronikoa:http://hdl.handle.net/10361/12810

Internet

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

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