A unified framework for the integration of multiple hierarchical clusterings or networks from multi-source data

A unified framework for the integration of multiple hierarchical clusterings or networks from multi-source data

Background: Integrating data from different sources is a recurring question in computational biology. Much effort has been devoted to the integration of data sets of the same type, typically multiple numerical data tables. However, data types are generally heterogeneous: it is a common place to gath...

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Bibliographic Details
Main Authors: Hulot, A. (Author), Jaffrézic, F. (Author), Laloë, D. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
animal
Animals
biology
cluster analysis
Cluster Analysis
Clustering
Common coordinate systems
Computational biology
Computational Biology
computer simulation
Computer Simulation
Data integration
Diseases
Forestry
Hierarchical clustering
human
Humans
Integration
Integration approach
MDS
MFA
Mice
mouse
Multi-dimensional scaling
Multiple factor analysis
Neoplasm Recurrence, Local
Network
Pairwise distances
protein
Proteins
Trees (mathematics)
tumor recurrence
Unified framework
Visual interpretation
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