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Table 1 List of the motif significance measures.

From: Evaluating deterministic motif significance measures in protein databases

Symbol Measure Formula Range Type
Sn Sensitivity S n ( M ) = T P T P + F N MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGacaGaaiaabeqaaeqabiWaaaGcbaGaem4uamLaemOBa4MaeiikaGIaemyta0KaeiykaKIaeyypa0tcfa4aaSaaaeaacqWGubavdaWgaaqaaiabdcfaqbqabaaabaGaemivaq1aaSbaaeaacqWGqbauaeqaaiabgUcaRiabdAeagnaaBaaabaGaemOta4eabeaaaaaaaa@3B13@ [0,1] C
Sp Specificity S p ( M ) = T N T N + F P MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGacaGaaiaabeqaaeqabiWaaaGcbaGaem4uamLaemiCaaNaeiikaGIaemyta0KaeiykaKIaeyypa0tcfa4aaSaaaeaacqWGubavdaWgaaqaaiabd6eaobqabaaabaGaemivaq1aaSbaaeaacqWGobGtaeqaaiabgUcaRiabdAeagnaaBaaabaGaemiuaafabeaaaaaaaa@3B13@ [0,1] C
PPV Positive Predicted Value P P V ( M ) = T P T P + F P MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGacaGaaiaabeqaaeqabiWaaaGcbaGaemiuaaLaemiuaaLaemOvayLaeiikaGIaemyta0KaeiykaKIaeyypa0tcfa4aaSaaaeaacqWGubavdaWgaaqaaiabdcfaqbqabaaabaGaemivaq1aaSbaaeaacqWGqbauaeqaaiabgUcaRiabdAeagnaaBaaabaGaemiuaafabeaaaaaaaa@3C0A@ [0,1] C
Fpr False Positive Rate F p r ( M ) = F P F P + T N MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGacaGaaiaabeqaaeqabiWaaaGcbaGaemOrayKaemiCaaNaemOCaiNaeiikaGIaemyta0KaeiykaKIaeyypa0tcfa4aaSaaaeaacqWGgbGrdaWgaaqaaiabdcfaqbqabaaabaGaemOray0aaSbaaeaacqWGqbauaeqaaiabgUcaRiabdsfaunaaBaaabaGaemOta4eabeaaaaaaaa@3C4E@ [-1,1] C
F F-Measure F ( M ) = 2 × S e n s i t i v i t y × P P V S e n s i t i v i t y + P P V = 2 × T P 2 × T P + F N + F P MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=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@7017@ [0,1] 1
Corr Correlation C ( M ) = T P × T N F P × F N ( T P + F N ) ( T P + F P ) ( T N + F P ) ( T N + F N ) MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=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@5DDA@ [-1,1] C
Dp Discrimination Power D p ( M ) = T P | C | F P | C ¯ | MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGacaGaaiaabeqaaeqabiWaaaGcbaGaemiraqKaemiCaaNaeiikaGIaemyta0KaeiykaKIaeyypa0tcfa4aaSaaaeaacqWGubavdaWgaaqaaiabdcfaqbqabaaabaWaaqWaaeaacqWGdbWqaiaawEa7caGLiWoaaaGccqGHsisljuaGdaWcaaqaaiabdAeagnaaBaaabaGaemiuaafabeaaaeaadaabdaqaaiqbdoeadzaaraaacaGLhWUaayjcSdaaaaaa@41AF@ [-1,1] C
IG Information Gain I G ( M ) = I n f o ( M ) × [ S u p p o r t ( M ) 1 ] where  I n f o ( M ) = l o g | Σ | p ( M ) MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=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@6C7F@ [0, + ∞[ IT
Pratt Pratt Measure P r a t t ( M ) = i n I ( A i ) c k = 1 n 1 ( q k p k ) where  I ( A i ) = a i A i ( P ( a i ) × l o g ( P ( a i ) ) ) + a i A i ( P ( a i ) P ( A i ) × l o g ( P ( a i ) P ( A i ) ) ) and  P ( A i ) = a i A i p ( a i ) MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGacaGaaiaabeqaaeqabiWaaaGcbaqbaeqabmqaaaqaaGqaciab=bfaqjab=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XgaSjab=9gaVjab=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@C763@ ]- ∞, + ∞[ IT
LogOdd LogOdd Logodd ( M ) = l o g ( S u p p o r t ( M ) N u m S e q s P ( M ) ) MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGacaGaaiaabeqaaeqabiWaaaGcbaGaeeitaWKaee4Ba8Maee4zaCMaee4Ba8MaeeizaqMaeeizaqMaeiikaGIaeeyta0KaeiykaKIaeyypa0JaemiBaWMaem4Ba8Maem4zaCMaeiikaGscfa4aaSaaaeaadaWcaaqaaiabdofatjabdwha1jabdchaWjabdchaWjabd+gaVjabdkhaYjabdsha0jabcIcaOiabd2eanjabcMcaPaqaaiabd6eaojabdwha1jabd2gaTjabdofatjabdwgaLjabdghaXjabdohaZbaaaeaacqWGqbaucqGGOaakcqWGnbqtcqGGPaqkaaGccqGGPaqkaaa@57F4@ ]- ∞, + ∞[ IT
ZScore Z-Score Z s c o r e ( M ) = S u p p o r t ( M ) E ( M ) N ( M ) where  E ( M ) = N r e s i d × P ( M )  and  N ( M ) = N r e s i d × P ( M ) × ( 1 P ( M ) ) MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=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@8B4E@ ]- ∞, + ∞[ IT
J J-Measure J ( C ; M ) = P ( M ) × j ( C ; M ) where  j ( C ; M ) = P ( C | M ) × l o g 2 P ( C | M ) P ( C ) + ( 1 P ( C | M ) ) × l o g 2 ( 1 P ( C | M ) ) ( 1 P ( C ) ) MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=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@8BA3@ [0, + ∞[ H
I Mutual Information I ( Q ; M ) = H ( Q ) H ( Q | M )  where  H ( Q ) = q { C , C ¯ } P ( q ) × l o g 2 P ( q ) and  H ( Q | M ) = P ( M ) × q { C , C ¯ } P ( q | M ) × l o g 2 P ( q | M ) MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=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@9B2C@ [0, 1] H
S Surprise Measure S ( M ) = I n f o ( M ) × P ( C | M ) = I n f o ( M ) × S u p p o r t ( M C ) S u p p o r t ( M ) MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGacaGaaiaabeqaaeqabiWaaaGcbaGaem4uamLaeiikaGIaemyta0KaeiykaKIaeyypa0JaemysaKKaemOBa4MaemOzayMaem4Ba8MaeiikaGIaemyta0KaeiykaKIaey41aqRaemiuaaLaeiikaGIaem4qamKaeiiFaWNaemyta0KaeiykaKIaeyypa0JaemysaKKaemOBa4MaemOzayMaem4Ba8MaeiikaGIaemyta0KaeiykaKIaey41aqBcfa4aaSaaaeaacqWGtbWucqWG1bqDcqWGWbaCcqWGWbaCcqWGVbWBcqWGYbGCcqWG0baDcqGGOaakcqWGnbqtcqGHiiIZcqWGdbWqcqGGPaqkaeaacqWGtbWucqWG1bqDcqWGWbaCcqWGWbaCcqWGVbWBcqWGYbGCcqWG0baDcqGGOaakcqWGnbqtcqGGPaqkaaaaaa@690D@ [0, + ∞[ H
  1. Description of the fourteen significance measures according to the respective type (C = Class based; IT = Information-Theoretic based; H = Hybrid). For each measure the abbreviation symbol used throughout the paper, the formula and the respective range.