Figure 1
From: Classification of dendritic cell phenotypes from gene expression data
Knowledge Extraction Protocol. Data are selected (Data Selection) from the Microarray Database to obtain the Learning Data Set which pre-identifies the relevant genes (Selected Features Learning Data Set). Selected genes are used to train several DM models whose performance (Model Learning and Performance Estimation) is summarised (Learning Performance Report). DM models are validated (Validation) to obtain the Validation Performance Report, and the selected genes are used to query the Ingenuity Pathway Analysis software (IPA software). Functional Gene Selection exploits the Ingenuity Graph to obtain the Reduced set of Genes that is used for Model Learning. The Validation task generates the Post-processing Performance Report.