A new geometric biclustering algorithm based on the Hough transform for analysis of large-scale microarray data

DOI10.1016/j.jtbi.2007.11.030zbMath1398.92087OpenAlexW2084277175WikidataQ31142886 ScholiaQ31142886MaRDI QIDQ1788649

Xudong Xie, Hongya Zhao, Alan Wee-Chung Liew, Hong Yan

Publication date: 8 October 2018

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10072/22590

zbMATH Keywords

Hough transformbiclusteringgene expression profilesmicroarray data analysis

Mathematics Subject Classification ID

Biochemistry, molecular biology (92C40) Software, source code, etc. for problems pertaining to biology (92-04)

Related Items (3)

A graph spectrum based geometric biclustering algorithm ⋮ A probabilistic relaxation labeling framework for reducing the noise effect in geometric biclustering of gene expression data ⋮ Identifying local co-regulation relationships in gene expression data

Uses Software

• BicAT
• KEGG

Cites Work

• The Hough transform estimator
• Tumor classification using phylogenetic methods on expression data
• PQN and DQN: algorithms for expression microarrays
• Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
• KERNEL-BASED NAIVE BAYES CLASSIFIER FOR BREAST CANCER PREDICTION
• Unnamed Item
• Unnamed Item

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