Identifying and Assessing Interesting Subgroups in a Heterogeneous Population
Joint Authors
Alexeyenko, Andrey
Lee, Woojoo
Pernemalm, Maria
Guegan, Justine
Dessen, Philippe
Lazar, Vladimir
Lehtiö, Janne
Pawitan, Yudi
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-03
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
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 be because the main statistical variability—the basis of cluster generation—is dominated by genes not associated with the clinical phenotype of interest.
Furthermore, a strong prognostic factor might be relevant for a certain subgroup but not for the whole population; thus an analysis of the whole sample may not reveal this prognostic factor.
To address these problems we investigate methods to identify and assess clinically interesting subgroups in a heterogeneous population.
The identification step uses a clustering algorithm and to assess significance we use a false discovery rate- (FDR-) based measure.
Under the heterogeneity condition the standard FDR estimate is shown to overestimate the true FDR value, but this is remedied by an improved FDR estimation procedure.
As illustrations, two real data examples from gene expression studies of lung cancer are provided.
American Psychological Association (APA)
Lee, Woojoo& Alexeyenko, Andrey& Pernemalm, Maria& Guegan, Justine& Dessen, Philippe& Lazar, Vladimir…[et al.]. 2015. Identifying and Assessing Interesting Subgroups in a Heterogeneous Population. BioMed Research International،Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1055572
Modern Language Association (MLA)
Lee, Woojoo…[et al.]. Identifying and Assessing Interesting Subgroups in a Heterogeneous Population. BioMed Research International No. 2015 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1055572
American Medical Association (AMA)
Lee, Woojoo& Alexeyenko, Andrey& Pernemalm, Maria& Guegan, Justine& Dessen, Philippe& Lazar, Vladimir…[et al.]. Identifying and Assessing Interesting Subgroups in a Heterogeneous Population. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1055572
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1055572