Classification by integrating plant stress response gene expression data with biological knowledge

DOI10.1016/j.mbs.2015.06.005zbMath1356.92003OpenAlexW566867498WikidataQ30975450 ScholiaQ30975450MaRDI QIDQ899096

Jun Meng, Rui Li, Yu-Shi Luan

Publication date: 21 December 2015

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2015.06.005

zbMATH Keywords

information fusionneighborhood rough setbiological knowledgeplant stress response

Mathematics Subject Classification ID

General biostatistics (92B15) Taxonomy, cladistics, statistics in mathematical biology (92B10) Biochemistry, molecular biology (92C40) Plant biology (92C80)

Uses Software

• WEKA
• apcluster
• APCluster
• ReliefF

Cites Work

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• Clustering by Passing Messages Between Data Points
• Neighborhood rough set based heterogeneous feature subset selection
• An extensive comparison of recent classification tools applied to microarray data
• Theoretical and empirical analysis of ReliefF and RReliefF
• Statistical inference for simultaneous clustering of gene expression data
• Multi-class clustering and prediction in the analysis of microarray data
• Partial least squares dimension reduction for microarray gene expression data with a censored response
• Pathway-level disease data mining through hyper-box principles

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