Divisive hierarchical maximum likelihood clustering

Background Biological data comprises various topologies or a mixture of forms, which makes its analysis extremely complicated. With this data increasing in a daily basis, the design and development of efficient and accurate statistical methods has become absolutely necessary. Specific analyses, such...

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Bibliographic Details
Published in:	BMC bioinformatics Vol. 18; no. Suppl 16; pp. 546 - 147
Main Authors:	Sharma, Alok, López, Yosvany, Tsunoda, Tatsuhiko
Format:	Journal Article
Language:	English
Published:	London BioMed Central 28.12.2017 BioMed Central Ltd BMC
Subjects:	Algorithms Analysis Bioinformatics Biomedical and Life Sciences Cluster Analysis Computational Biology/Bioinformatics Computer Appl. in Life Sciences Divisive approach Genomics Hierarchical clustering Humans Leukemia Life Sciences Maximum likelihood Microarrays Probability Hierarchical clustering Divisive approach Maximum likelihood
ISSN:	1471-2105, 1471-2105
Online Access:	Get full text
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