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Table 6 Generalization in terms of genes and locations. The table compares the AUROC for three different settings

From: Semantic biclustering for finding local, interpretable and predictive expression patterns

Dataset

Method

kG

kL

bd

Ovary

Bicluster Enrichment

0.929 ±0.013

0.677 ±0.03

0.818 ±0.014

 

Rules (JRip)

0.692 ±0.02

0.583 ±0.01

0.583 ±0.02

 

Tree (J48)

0.725 ±0.002

0.604 ±0.01

0.604 ±0.02

IDiscs

Bicluster Enrichment

0.705 ±0.06

0.560 ±0.02

0.593 ±0.03

 

Rules (JRip)

0.588 ±0.01

0.546 ±0.01

0.537 ±0.02

 

Tree (J48)

0.630 ±0.06

0.627 ±0.05

0.602 ±0.04

  1. kG tests the generalization across locations, kL the generalization across genes and bd the generalization in both the dimensions