
An Analysis of Different Distance-Linkage Methods for Clustering Gene Expression Data and Observing Pleiotropy: Empirical Study
Author(s) -
Joydhriti Choudhury,
Faisal Bin Ashraf
Publication year - 2022
Publication title -
jmir bioinformatics and biotechnology
Language(s) - English
Resource type - Journals
ISSN - 2563-3570
DOI - 10.2196/30890
Subject(s) - cluster analysis , silhouette , euclidean distance , pleiotropy , complete linkage , linkage (software) , data set , metric (unit) , set (abstract data type) , data mining , similarity (geometry) , selection (genetic algorithm) , complete linkage clustering , consensus clustering , computer science , biology , gene , genetics , artificial intelligence , correlation clustering , cure data clustering algorithm , phenotype , operations management , genotype , single nucleotide polymorphism , programming language , image (mathematics) , economics