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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	BMC bioinformatics Jg. 18; H. Suppl 16; S. 546 - 147
Hauptverfasser:	Sharma, Alok, López, Yosvany, Tsunoda, Tatsuhiko
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 28.12.2017 BioMed Central Ltd BMC
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!