Dennis,
Dennis,
Voici 2 exemples de calcul des 2 types de scores
Cécile
Cas des singletons : score de prediction d'une realite
biologique
Dans le fichier FoldChange0.csv, la CIBLE est :
- 50 fois a 0
- 71 fois a 1
- 3 fois a -1
Alternative predicting genes: ['FT1'] for target: CIBLE
with percentage correct: 0.81
FT1 = 1 correctly predicts 0 x1 times out of y1 with prob
correct: p1 and p-value pval1
FT1 = 0 correctly
predicts 0 x2
times out of y2 with prob correct: p2 and p-value pval2
FT1 = -1 correctly
predicts 1 x3
times out of y3 with prob correct: p3 and p-value pval3
Calcul du score : utilisation des lignes ou (FT1 et CIBLE
sont à 0) et (FT1 et CIBLE sont à non0)
s = (x2 + x3) / (50 +
71)
ce score doit etre superieur a 70% (variable) pour que le
facteur de transcription soit sélectionne pour la suite
===========================================================================
Cas des paires, triplets, quadruplets : score de classement
Alternative predicting genes: ['FT1', 'FT2', 'FT3'] for
target: CIBLE with percentage correct: 0.88
FT1 = 1 correctly predicts 1 x1
times out of y1 with prob correct: p1 and p-value pval1
FT3 = 1 correctly predicts 0 x1.1 times out of y1.1
with prob correct: p1.1 and p-value pval1.1
FT3 = 0 correctly predicts 1 x1.2 times out of y1.2
with prob correct: p1.2 and p-value pval1.2
FT3 = -1 correctly predicts 1 x1.3 times out of y1.3
with prob correct: p1.3 and p-value pval1.3
FT2 = 0 correctly predicts 1 x1.3.1 times out of
y1.3.1 with prob correct: p1.3.1 and p-value pval1.3.1
FT2 = -1 correctly predicts 1 x1.3.2 times out of y1.3.2 with prob
correct: p1.3.2 and p-value pval1.3.2
FT1 = 0 correctly predicts 0 x2
times out of y2 with prob correct: p2 and p-value pval2
FT3 = 1 correctly predicts -1 x2.1 times out of y2.1
with prob correct: p2.1 and p-value pval2.1
FT2 = 1 correctly predicts -1 x2.1.1 times out of
y2.1.1 with prob correct: p2.1.1 and p-value pval2.1.1
FT2 = 0 correctly predicts 0 x2.1.2 times out of
y2.1.2 with prob correct: p2.1.2 and p-value pval2.1.2
FT3 = 0 correctly predicts 0 x2.2 times out of y2.2
with prob correct: p2.2 and p-value pval2.2
FT2 = 0 correctly predicts 0 x2.2.1 times out of y2.2.1 with prob
correct: p2.2.1 and p-value pval2.2.1
FT2 = -1 correctly predicts 0 x2.2.2 times out of
y2.2.2 with prob correct: p2.2.2 and p-value pval2.2.2
FT3 = -1 correctly predicts 0 x2.3 times out of y2.3
with prob correct: p2.3 and p-value pval2.3
FT2 = 1 correctly predicts 0 x2.3.1 times out of
y2.3.1 with prob correct: p2.3.1 and p-value pval2.3.1
FT2 = 0 correctly predicts 0 x2.3.2 times out of
y2.3.2 with prob correct: p2.3.2 and p-value pval2.3.2
FT2 = -1 correctly predicts 0 x2.3.3 times out of
y2.3.3 with prob correct: p2.3.3 and p-value pval2.3.3
FT1 = -1 correctly predicts -1 x3 times out of y3 with
prob correct: p3 and p-value pval3
FT3 = 0 correctly predicts -1 x3.1 times out of y3.1
with prob correct: p3.1 and p-value pval3.1
FT3 = -1 correctly predicts 0 x3.2 times out of y3.2
with prob correct: p3.2 and p-value pval3.2
Calcul du score : utilisation des lignes ou (FT1 et CIBLE
sont à 0) et (FTn et CIBLE sont à 0) et (FT1 et CIBLE sont à 1/-1)
et (FTn et CIBLE sont à 1/-1)
si tous les intermediaires entre 1 et n ont le meme profil
(0/0 ou non0/non0) :
score de classement : s2 = (x1.3.2
+ x2.2.1) / (x1 + x2)