Table 1. Definition of cutoffs.

This table shows the different confidence cutoffs used in the analyses for each dataset, the quality score and how each quality score is converted to the unified confidence score used in the TISSUES web resource.

Dataset	Low cutoff	Medium cutoff	High cutoff	Score	Confidence score (stars)a
UniGene	1	10	20	No. of ESTs	6/(1 + 0.229 ⋅ score−7.898) − 1
GNF	50	100	250	Expression units	log10(score) + 0.7
Exon array	50	100	250	Expression units	2 ⋅ log10(score) − 3.56
RNA-seq atlas	0.5	1	5	RPKMs	log10(score) + 0.523
HPA RNA-seq	1	10	20	FPKMs	log10(score) − 0.176
HPA IHC	0	1.1	1.9	IHC score	score/5.5
HPM	1	5	10	No. of tryptic peptides	score/30 + 0.5
Text mining	0	2.5	3.5	Z-score	max(score/2.4)

Notes.

^aThese functions were calculated using the ‘Non-linear curve fitting’ functionality that xmgrace provides via its GUI.