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Table 1 Feature scores for PG07.

From: MScanner: a classifier for retrieving Medline citations

Score R R ¯ MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGacaGaaiaabeqaaeqabiWaaaGcbaGafmOuaiLbaebaaaa@2D18@ p(F i = 1|R) p(F i = 1| R ¯ MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGacaGaaiaabeqaaeqabiWaaaGcbaGafmOuaiLbaebaaaa@2D18@ ) z i Type Term String
8.27 56 140 3.5E-2 9.0E-6 1.3E-5 issn 1744–6872 (Pharmacogenet. Genomics)
7.36 137 855 8.6E-2 5.5E-5 6.4E-5 issn 0960-314X (Pharmacogenetics)
7.24 41 287 2.6E-2 1.8E-5 2.1E-5 issn 1470-269X (Pharmacogenomics J.)
6.85 6 62 3.8E-3 4.0E-6 4.4E-6 mesh Organic Anion Transport Polypeptide C
5.95 20 509 1.3E-2 3.3E-5 3.4E-5 issn 1462–2416 (Pharmacogenomics)
5.88 31 847 1.9E-2 5.4E-5 5.6E-5 mesh Steroid 16-alpha-Hydroxylase
5.84 70 1986 4.4E-2 1.3E-4 1.3E-4 mesh Cytochrome P-450 CYP2D6
5.84 2 57 1.3E-3 3.7E-6 3.8E-6 mesh Glucuronic Acids
5.79 13 390 8.2E-3 2.5E-5 2.6E-5 mesh Mephenytoin
5.78 114 3434 7.1E-2 2.2E-4 2.3E-4 mesh Pharmacogenetics
5.69 1 33 6.3E-4 2.1E-6 2.2E-6 mesh Methenyltetrahydrofolate Cyclohydrolase
5.54 7 268 4.4E-3 1.7E-5 1.8E-5 mesh Xeroderma Pigmentosum Group D Protein
5.53 2 78 1.3E-3 5.0E-6 5.1E-6 mesh Methylthioinosine
5.42 5 216 3.1E-3 1.4E-5 1.4E-5 mesh Organic Anion Transporters, Sodium-Independent
  1. The support scores for feature occurrence, for retrieval using PG07. "R" denotes |R ∩ Fi = 1| and " R ¯ MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGacaGaaiaabeqaaeqabiWaaaGcbaGafmOuaiLbaebaaaa@2D18@ " denotes | R ¯ MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGacaGaaiaabeqaaeqabiWaaaGcbaGafmOuaiLbaebaaaa@2D18@ ∩ Fi = 1|, which are the number of example and rest-of-Medline articles with each feature. p(Fi = 1|R) and p(Fi = 1| R ¯ )MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGacaGaaiaabeqaaeqabiWaaaGcbaGafmOuaiLbaebaaaa@2D18@ are the posterior probabilities for feature occurrence, using zi as the prior count.