title: BiVisu: software tool for bicluster detection and visualization.
abstract: BiVisu is an open-source software tool for detecting and visualizing biclusters embedded in a gene expression matrix. Through the use of appropriate coherence relations, BiVisu can detect constant, constant-row, constant-column, additive-related as well as multiplicative-related biclusters. The biclustering results are then visualized under a 2D setting for easy inspection. In particular, parallel coordinate (PC) plots for each bicluster are displayed, from which objective and subjective cluster quality evaluation can be performed.
  
  
  BACKGROUND
  BiVisu has been developed in Matlab and is available at http://www.eie.polyu.edu.hk/~nflaw/Biclustering/.
authors.affiliation: Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong. k.o.cheng@polyu.edu.hk
authors.forename: K O
authors.initials: KO
authors.lastname: Cheng
authors.forename: N F
authors.initials: NF
authors.lastname: Law
authors.forename: W C
authors.initials: WC
authors.lastname: Siu
authors.forename: T H
authors.initials: TH
authors.lastname: Lau
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D016000:Cluster Analysis; D003196:Computer Graphics; D020869:Gene Expression Profiling / Q000379:methods*; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods; D012984:Software; D014584:User-Computer Interface