Figure 2.
Classifier discovery. (A) Schematic diagram showing the strategy used to develop classifier on a public dataset (GSE10846) from newly diagnosed DLBCL patients (Discovery) and to classify new DLBCL specimens from an independent set of commercially sourced diagnostic/archival biopsies from frontline patients (Replication). Gene selection-steps are shown in pink, and classifier creation steps are shown in yellow. Heat maps showing the results of clustering of samples (Affymetrix) in the public dataset (n = 414) based on subgroup (B) and independent commercially sourced samples (NanoString) (n = 245) based on the classifier (C). Segregation according to the subgroup/classifier is shown in the lower bar above the heat map, whereas lack of segregation by COO is shown in the upper bar.

Classifier discovery. (A) Schematic diagram showing the strategy used to develop classifier on a public dataset (GSE10846) from newly diagnosed DLBCL patients (Discovery) and to classify new DLBCL specimens from an independent set of commercially sourced diagnostic/archival biopsies from frontline patients (Replication). Gene selection-steps are shown in pink, and classifier creation steps are shown in yellow. Heat maps showing the results of clustering of samples (Affymetrix) in the public dataset (n = 414) based on subgroup (B) and independent commercially sourced samples (NanoString) (n = 245) based on the classifier (C). Segregation according to the subgroup/classifier is shown in the lower bar above the heat map, whereas lack of segregation by COO is shown in the upper bar.

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