A formal concept analysis approach to consensus clustering of multi-experiment expression data
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Presently, with the increasing number and complexity of available gene expression datasets, the combination of data from multiple microarray studies addressing a similar biological question is gaining importance. The analysis and integration of multiple datasets are expected to yield more reliable and robust results since they are based on a larger number of samples and the effects of the individual study-specific biases are diminished.
Nội dung trích xuất từ tài liệu:
A formal concept analysis approach to consensus clustering of multi-experiment expression data
Nội dung trích xuất từ tài liệu:
A formal concept analysis approach to consensus clustering of multi-experiment expression data
Tìm kiếm theo từ khóa liên quan:
BMC Bioinformatics Consensus clustering Particle swarm optimization Formal concept analysis Integration analysis Multi-experiment expression dataGợi ý tài liệu liên quan:
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