Ontology highlight
ABSTRACT:
SUBMITTER: Lee W
PROVIDER: S-EPMC4539210 | biostudies-literature | 2015
REPOSITORIES: biostudies-literature
Lee Woojoo W Alexeyenko Andrey A Pernemalm Maria M Guegan Justine J Dessen Philippe P Lazar Vladimir V Lehtiö Janne J Pawitan Yudi Y
BioMed research international 20150803
Biological heterogeneity is common in many diseases and it is often the reason for therapeutic failures. Thus, there is great interest in classifying a disease into subtypes that have clinical significance in terms of prognosis or therapy response. One of the most popular methods to uncover unrecognized subtypes is cluster analysis. However, classical clustering methods such as k-means clustering or hierarchical clustering are not guaranteed to produce clinically interesting subtypes. This could ...[more]