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1 Ergebnisse
1
Identifying the best metrics to find the best quality clust..:
, In:
Proceedings of the 2019 6th International Conference on Bioinformatics Research and Applications
,
Rayon, Raihanoor Reza
;
Choudhury, Joydhriti
;
Islam, Md. Tawhidul
... - p. 43-48 , 2019
Link:
https://dl.acm.org/doi/10.1145/3383783.3383787
RT T1 <cTitle>Proceedings of the 2019 6th International Conference on Bioinformatics Research and Applications</cTitle>: T1 <Title>Identifying the best metrics to find the best quality clusters of genes from gene expression data</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3383787&Exemplar=1&LAN=DE A1 Rayon, Raihanoor Reza A1 Choudhury, Joydhriti A1 Islam, Md. Tawhidul A1 Roshni, Tanzima Rahman A1 Bin Ashraf, Faisal A1 Ajwad, Rasif A1 Mottalib, Md Abdul PB ACM YR 2019 K1 Bioinformatics K1 Distance Metric K1 Gene Expression K1 Hierarchical Clustering K1 Linkage Method K1 Microarray K1 Phylogenetic Tree K1 Applied computing K1 Life and medical sciences K1 Bioinformatics K1 Computing methodologies K1 Machine learning K1 Computational biology K1 Recognition of genes and regulatory elements SP 43 OP 48 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3383783.3383787 DO https://dl.acm.org/doi/10.1145/3383783.3383787 SF ELIB - SuUB Bremen
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