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Figure 1 | BMC Medical Genomics

Figure 1

From: Integrating Factor Analysis and a Transgenic Mouse Model to Reveal a Peripheral Blood Predictor of Breast Tumors

Figure 1

Experimental Design. To generate a human breast tumor predictor we took the following steps: (1) randomly divided samples into training and validation cohorts, then analyzed gene expression in PBC samples collected from tumor-bearing transgenic mice versus tumor-free controls that are matched for age and parity; (2) applied a sparse ANOVA to the training set to identify 4,276 mouse Affymetrix probes with at least 0.99 posterior probability (these probes were used to independently generate a set of 49 factors that were used to develop a predictive model based on the mouse gene expression data); (3) translated these into 2,595 orthologous human probes; (4) applied BFRM to this subset of 2,595 probes to yield 26 factors from a training set of 30 human PBMC samples; (5) used SSS to build 5000 possible predictive models from the training set, then projected these into a separate validation set of samples.

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