Skip to main content

Table 5 Log(ods) and relative Pvalues associated to different single species (SSs) in logistic models

From: In silico prediction of lncRNA function using tissue specific and evolutionary conserved expression

  

Univariate

Bivariate

Multivariate

Predictor

Samples

Log(odds)

AUC

Pvalue

Log(odds)

AUC

Pvalue

Log(odds)

Pvalue

ggallus

17

–2.6

0.67

2.2e–217

–1.9

0.72

5.9e–106

–1.3

1.1e–51

ggorilla

12

–2.9

0.65

3.7e–162

–0.99

0.78

4e–19

–0.0092

0.95

hsapiens

59

–4.3

0.7

1.4e–300

–1.9

0.74

7.3e–54

–1.7

2.6e–31

mdomestica

20

–3.1

0.68

1.5e–225

–1.8

0.73

1.2e–77

–1

3.3e–23

mmulatta

14

–2.7

0.65

1e–175

–1.1

0.8

2.1e–25

0.38

0.002

mmusculus

49

–4

0.69

6.4e–275

–2.1

0.78

1.9e–74

–1.4

1.2e–24

oanatinus

19

–2.9

0.68

2.5e–229

–1.9

0.78

3.9e–92

–1.4

1.3e–46

pabelii

10

–2.8

0.64

3.7e–142

–1.2

0.81

1.7e–27

–0.53

2.2e–05

ptroglodytes

28

–3.1

0.67

1.5e–204

–1.2

0.77

1.6e–27

–0.36

0.01

xtropicalis

13

–2.7

0.65

5.5e–176

–1.8

0.78

4.4e–79

–1.5

5.3e–56

  1. Bivariate models include two predictors: the indicated species plus AS. Note that AS and SSs derive from different expression datasets, GTEx and Necsulea respectively. The bivariate model that include hsapiens (from Necsulea) and AS shows that the contribute of hsapiens to the prediction is significant even if derive from the same specie of AS. The multivariate model consider all SSs but not AS, the AUC in this case is 0.77, the same AUC that we obtain with AS alone