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Table 3 Distribution of pathway assignment scores. For each data set we ran our algorithm for pathway assignment. The algorithm considers all pathways simultaneously attempting to maximize expression similarity while minimizing the number of conflicts. The final normalized pathway assignment scores Score(A(P)) are divided into four categories based on the average expression similarity of their genes: strongly correlated genes (4 ≤ Score), mildly correlated genes (1 <Score < 4), weakly or uncorrelated genes (-1 ≤ Score ≤ 1) and anti-correlated genes (Score < -1).

From: Automation of gene assignments to metabolic pathways using high-throughput expression data

Data Set Assignment Score < -1 score -1 ≤ Score ≤ 1 1 <Score < 4 4 ≤ Score
Time-series 4 5 11 32
Rosetta 2 2 7 41