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NCutYX: a package for clustering analysis of multilayer omics data
Sebastian J Teran Hidalgo1, Mengyun Wu2, Shuangge Ma1
1Department of Biostatistics, Yale University, New Haven, CT, USA.
Bioinformatics (Oxford, England)
|November 16, 2019
Summary
NCutYX is a new R package for analyzing complex diseases using multilayer omics data. It offers novel clustering methods to understand disease mechanisms and regulations across different omics layers.
Area of Science:
- Genomics
- Systems Biology
- Bioinformatics
Background:
- Multilayer omics profiling is crucial for understanding complex diseases.
- Integrating multiple omics data layers presents analytical challenges.
Purpose of the Study:
- To develop an R package, NCutYX, for advanced clustering analysis of multilayer omics data.
- To provide methods that jointly analyze and accommodate regulations within multiple omics measurements.
Main Methods:
- Utilizes the normalized cut technique for systematic analysis.
- Performs clustering of subjects and omics measurements.
- Includes biclustering capabilities for integrated data analysis.
Main Results:
- NCutYX enables joint analysis of diverse omics data.
- The package effectively handles regulatory relationships across data layers.
- Provides comprehensive clustering and biclustering functionalities.
Conclusions:
- NCutYX offers a valuable tool for complex disease research.
- The package introduces novel methods for multilayer omics data analysis.
- Its comprehensiveness makes it a timely contribution to the field.
