Use of biplots and partial least squares regression in microarray data analysis for assessing association between genes involved in different biological pathways

摘要: Microarrays are widely used to study expression profiles for thousand of transcripts simultaneously and explore interrelationships between sets genes. Visualization techniques Partial Least Squares (PLS) regression have thus gained relevance in genomic. Biplots provide an aid understand relationships genes samples among genes, whereas passive projections variables helpful understanding conditional be quantitatively evaluated via PLS regression. 62 involved loss cell polarity 8 Epithelial-Mesenchymal Transition (EMT), were selected from a on 49 mesothelioma samples, analysis considered EMT as conditioning conditioned variables. results consistent with the PCA-based biplot genes. Future work will address sparsity PCA regression. path modeling after specification detailed dependency network.