Biclustering Methods: Biological Relevance and Application in Gene Expression Analysis

Biclustering reveals breast cancer tumour subgroups with common clinical features and improves prediction of disease recurrence

(2013) Yi Kan Wang et al.   BMC GENOMICS

A comparative analysis of biclustering algorithms for gene expression data

(2012) K. Eren et al.   BRIEFINGS IN BIOINFORMATICS

A comparison and evaluation of five biclustering algorithms by quantifying goodness of biclusters for gene expression data

(2012) Li Li et al.   BioData Mining

FABIA: factor analysis for bicluster acquisition

(2010) Sepp Hochreiter et al.   BIOINFORMATICS

Next generation software for functional trend analysis

(2009) G. F. Berriz et al.   BIOINFORMATICS

Comparison of Affymetrix data normalization methods using 6,926 experiments across five array generations

(2009) Reija Autio et al.   BMC BIOINFORMATICS

A biclustering algorithm based on a Bicluster Enumeration Tree: application to DNA microarray data

(2009) Wassim Ayadi et al.   BioData Mining

Bayesian biclustering of gene expression data

(2008) Jiajun Gu et al.   BMC GENOMICS

Novel Molecular Subtypes of Serous and Endometrioid Ovarian Cancer Linked to Clinical Outcome

(2008) R. W. Tothill et al.   CLINICAL CANCER RESEARCH

An Efficient Voting Algorithm for Finding Additive Biclusters with Random Background

(2008) Jing Xiao et al.   JOURNAL OF COMPUTATIONAL BIOLOGY

Systematic bioinformatic analysis of expression levels of 17,330 human genes across 9,783 samples from 175 types of healthy and pathological tissues

(2008) Sami Kilpinen et al.   GENOME BIOLOGY

Biclustering in data mining

(2007) Stanislav Busygin et al.   COMPUTERS & OPERATIONS RESEARCH