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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Choudhury, Joydhriti, Roshni, Tanzima Rahman, Chowdhury, Md. Tawhidul Islam, Rayon, Raihanoor Reza
Άλλοι συγγραφείς: Mottalib, Md. Abdul
Μορφή: Thesis
Γλώσσα:English
Έκδοση: Brac University 2019
Θέματα:
Bioinformatics
Microarray
Gene expression
Phylogenetic tree
Hierarchical clustering
Distance metric
Linkage method
Cluster analysis.
Διαθέσιμο Online:http://hdl.handle.net/10361/12810

Διαδίκτυο

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

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