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. 2011 Mar 15;6(3):e17806. doi: 10.1371/journal.pone.0017806

Table 1. Overview of compartmental assignment results.

Compound (cpd.) class unexplained specific dominant enriched shared/shared* total
(cpl) (cyt) (vac) cpl cyt vac cpl cyt vac cpl cyt vac cpl <> cyt cyt <> vac cpl <> vac other
primary cpd. 8 24 9 7 12 9 11 28 15 4 10 6 15 24 1 20 203
41 (20.2%) 28 (13.8%) 54 (26.6%) 20 (9.9%) 60 (29.6%)
lipophilic cpd. 146 342 24 326 288 0 284 756 3 49 125 0 270 102 1 88 2804
512 (18.3%) 614 (21.9%) 1043 (37.2%) 174 (6.2%) 461 (16.4%)
secondary cpd. 20 119 30 10 161 158 39 44 76 14 14 21 48 55 22 79 910
169 (18.6%) 329 (36.2%) 159 (17.5%) 49 (5.4%) 204 (22.4%)
others (+) 0 2 0 1 0 0 0 0 0 0 0 0 1 0 0 1 5
2 (40%) 1 (20%) 0 (0%) 0 (0%) 2 (40%)
total 174 487 63 344 461 167 334 828 94 67 149 27 334 181 24 188 3922
724 (18.5%) 972 (24.8%) 1256 (32%) 243 (6.2%) 727 (18.5%)

Classification of analytes into classes is based on the BFA-estimated subcellular distributions (Data S4) derived from three independent gradients using a classification tree (Figure 6). Venn diagrams are depicted in Figure S3. Analytes with insufficiently explained (unexplained) distributions using the selected compartment-specific markers are classified by the kNN algorithm using the three nearest neighbor (k = 3) compartment-specific markers.