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. 2010 Aug 27;5(8):e12385. doi: 10.1371/journal.pone.0012385

Table 2. This table lists the 19 pathways whose activity could be predicted by combinations of PCFs.

KEGG ID Pathway R2 average R2 Feature Type
rno04810 Regulation of actin cytoskeleton 0.53 0.53 GETAWAY descriptors GETAWAY descriptors ET-state Indices
rno05222 Small cell lung cancer 0.52 0.57 RDF descriptors GSFRAG Descriptor GETAWAY descriptors
rno04310 Wnt signaling pathway 0.53 0.57 GSFRAG Descriptor Information indices GSFRAG Descriptor
rno04540 Gap junction 0.53 0.57 Geometrical descriptors ET-state Indices 3D-MoRSE descriptors
rno04720 Long-term potentiation 0.53 0.57 GETAWAY descriptors Information indices GSFRAG Descriptor
rno04730 Long-term depression 0.53 0.54 RDF descriptors ET-state Indices Geometrical descriptors
rno04912 GnRH signaling pathway 0.52 0.55 GETAWAY descriptors WHIM descriptors WHIM descriptors
rno04916 Melanogenesis 0.52 0.53 3D-MoRSE descriptors Geometrical descriptors ET-state Indices
rno00860 Porphyrin and chlorophyll metabolism 0.52 0.53 ET-state Indices GSFRAG Descriptor WHIM descriptors
rno00010 Glycolysis/Gluconeogenesis 0.52 0.53 GSFRAG Descriptor GSFRAG Descriptor WHIM descriptors
rno01430 Cell Communication 0.52 0.57 Geometrical descriptors ET-state Indices GETAWAY descriptors
rno04920 Adipocytokine signaling pathway 0.51 0.53 GSFRAG Descriptor GSFRAG Descriptor 2D autocorrelations
rno04012 ErbB signaling pathway 0.53 0.57 RDF descriptors ET-state Indices Geometrical descriptors
rno05215 Prostate cancer 0.52 0.53 RDF descriptors GSFRAG Descriptor GETAWAY descriptors
rno04664 Fc epsilon RI signaling pathway 0.53 0.55 3D-MoRSE descriptors GSFRAG Descriptor 2D autocorrelations
rno05214 Glioma 0.52 0.55 3D-MoRSE descriptors Molecular properties Topological charge indices
rno05218 Melanoma 0.51 0.59 ET-state Indices 3D-MoRSE descriptors Geometrical descriptors
rno04930 Type II diabetes mellitus 0.53 0.57 WHIM descriptors GSFRAG Descriptor GSFRAG Descriptor
rno00480 Glutathione metabolism 0.51 0.54 Edge adjacency indices Information indices 3D-MoRSE descriptors

For each pathway the average RInline graphic value given the model population, the model with the highest RInline graphic value and the descriptor group features responsible for the correlation are shown. A detailed table with the features that have been selected for these models can be found in Table S3.