Characterization of lung tumor subtypes through gene expression cluster validity assessment

DOI10.1051/ita:2006011zbMath1108.62122OpenAlexW2093136507WikidataQ59529957 ScholiaQ59529957MaRDI QIDQ3431434

Giorgio Valentini, Francesca Ruffino

Publication date: 10 April 2007

Published in: RAIRO - Theoretical Informatics and Applications (Search for Journal in Brave)

Full work available at URL: http://www.numdam.org/item?id=ITA_2006__40_2_163_0

zbMATH Keywords

DNA microarray data analysisbio-molecular taxonomy of tumors

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Biochemistry, molecular biology (92C40)

Uses Software

• Silhouettes
• AS 136
• AutoClass
• clusfind

Cites Work

• Unnamed Item
• Algorithm AS 136: A K-Means Clustering Algorithm
• Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
• Consensus clustering: A resampling-based method for class discovery and visualization of gene expression microarray data
• Bootstrapping cluster analysis: Assessing the reliability of conclusions from microarray experiments
• Extensions of Lipschitz mappings into a Hilbert space
• Finding Groups in Data
• Well-Separated Clusters and Optimal Fuzzy Partitions