Literature DB >> 11448886

Visualization of expression clusters using Sammon's non-linear mapping.

R M Ewing1, J M Cherry.   

Abstract

A method of exploratory analysis and visualization of multi-dimensional gene expression data using Sammon's Non-Linear Mapping (NLM) is presented.

Mesh:

Year:  2001        PMID: 11448886     DOI: 10.1093/bioinformatics/17.7.658

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  5 in total

1.  VizStruct: exploratory visualization for gene expression profiling.

Authors:  Li Zhang; Aidong Zhang; Murali Ramanathan
Journal:  Bioinformatics       Date:  2004-01-01       Impact factor: 6.937

2.  Information Visualization Techniques in Bioinformatics during the Postgenomic Era.

Authors:  Ying Tao; Yang Liu; Carol Friedman; Yves A Lussier
Journal:  Drug Discov Today Biosilico       Date:  2004-11

3.  Non-linear mapping for exploratory data analysis in functional genomics.

Authors:  Francisco Azuaje; Haiying Wang; Alban Chesneau
Journal:  BMC Bioinformatics       Date:  2005-01-20       Impact factor: 3.169

4.  Post-normalization quality assessment visualization of microarray data.

Authors:  John McClure; Ernst Wit
Journal:  Comp Funct Genomics       Date:  2003

5.  caBIG VISDA: modeling, visualization, and discovery for cluster analysis of genomic data.

Authors:  Yitan Zhu; Huai Li; David J Miller; Zuyi Wang; Jianhua Xuan; Robert Clarke; Eric P Hoffman; Yue Wang
Journal:  BMC Bioinformatics       Date:  2008-09-18       Impact factor: 3.169

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.