A simpler and more accurate AUTO-HDS framework for clustering and visualization of biological data

Ricardo J.G.B. Campello, Davoud Moulavi, Jörg Sander

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Abstract

In [1], the authors proposed a framework for automated clustering and visualization of biological data sets named AUTO-HDS. This letter is intended to complement that framework by showing that it is possible to get rid of a userdefined parameter in a way that the clustering stage can be implemented more accurately while having reduced computational complexity.

OriginalsprogEngelsk
TidsskriftIEEE/ACM Transactions on Computational Biology and Bioinformatics
Vol/bind9
Udgave nummer6
Sider (fra-til)1850-1852
ISSN1545-5963
DOI
StatusUdgivet - 2012
Udgivet eksterntJa

Bibliografisk note

Funding Information:
The authors thank the Research Foundation of the State of São Paulo, Brazil (FAPESP), the Brazilian National Council for Scientific and Technological Development (CNPq), and the Natural Sciences and Engineering Research Council of Canada (NSERC).

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