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Updated: Jan 29, 2026
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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
Published on: February 15, 2017
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Are clusterings of multiple data views independent?
Lucy L Gao1, Jacob Bien2, Daniela Witten3
1Department of Biostatistics, University of Washington, 1705 NE Pacific Street, Seattle, WA 98195, USA.
Biostatistics (Oxford, England)
|February 13, 2019
Summary
Subgroups within the Pioneer 100 (P100) Wellness Project show time-dependent clustering. However, distinct data types like clinical and proteomic data reveal independent participant clusters.
Area of Science:
- Biomedical research
- Data science
- Personalized medicine
Background:
- The Pioneer 100 (P100) Wellness Project collects diverse data to optimize participant wellness.
- Clustering participants into subgroups is key for personalized health recommendations.
- Combining multiple data types for clustering assumes a shared underlying structure, which may not hold true.
Purpose of the Study:
- To evaluate the dependency or independence of participant clusters across different data views.
- To develop and apply a novel statistical test for assessing relationships between clusterings.
Main Methods:
- Applied a new statistical test to clinical, proteomic, and metabolomic data from the P100 study.
- Analyzed data from two distinct timepoints.
- Assessed the relationship between clusterings derived from different data modalities.
Main Results:
- Participant subgroups within a single data type demonstrated dependency across time.
- Clustering based on proteomic data was not associated with clustering based on clinical data.
- Independence was observed between clusterings derived from different data modalities.
Conclusions:
- The assumption of a single shared clustering across all data views may be invalid.
- Participant subgroups are time-dependent within a data type but independent across different data types.
- Future personalized health strategies should consider the independence of data modalities.
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