Wilks' Λ Dissimilarity Measures for Gene Clustering: An Approach Based on the Identification of Transcription Modules

DOI10.1111/j.1541-0420.2011.01571.xzbMath1274.62863OpenAlexW2027876531WikidataQ51594925 ScholiaQ51594925MaRDI QIDQ2893380

Alberto Roverato, F. Marta L. Di Lascio

Publication date: 20 June 2012

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2011.01571.x

zbMATH Keywords

hierarchical clusteringBayesian networkGaussian DAG modelsparse canonical correlationtranscription moduleWilks' \(\Lambda\)

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35) Genetics and epigenetics (92D10)

Related Items (2)

Clustering Microarray Data: Theoretical and Practical Issues ⋮ Clustering dependent observations with copula functions

Uses Software

• RegulonDB

Cites Work

• Sparse CCA using a lasso with positivity constraints
• Sparse Canonical Correlation Analysis with Application to Genomic Data Integration
• Probabilistic Networks and Expert Systems
• Statistics for Microarrays
• Establishing the Positive Definiteness of the Sample Covariance Matrix
• RELATIONS BETWEEN TWO SETS OF VARIATES

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