Skip to main content

Table 2 Linkages of features and gene essentiality in SCE (A) and ECO (B)

From: A new computational strategy for predicting essential genes

A

Feature

Correlation1

P-value2

True effect3

P-value4

R Square5

DC

0.256

3.7E-58

0.157

1.6E-09

0.065

NEH

0.188

5.5E-32

0.345

4.8E-61

0.087

NP

−0.054

4.5E-04

−0.186

2.5E-23

0.118

NS

0.001

0.47034

−0.225

8.0E-24

0.133

Age

−0.138

5.9E-18

−0.150

8.3E-15

0.150

CCo

0.166

4.0E-25

0.080

2.3E-06

0.155

DoC

0.132

1.9E-16

0.058

2.5E-04

0.157

mEF

−0.048

0.00166

−0.044

0.01224

0.159

CAI

0.043

0.00398

−0.033

0.07042

0.160

PL

0.020

0.10449

0.022

0.14817

0.161

CC

0.204

2.1E-37

0.021

0.40713

0.161

mE

0.086

5.4E-08

−0.009

0.65639

0.161

B

Feature

Correlation

P-value

True effects

P-value

R Square

DC

0.486

6.E-228

0.368

1.2E-38

0.237

NEH

0.478

2.E-219

0.359

2.E-110

0.350

NNH

−0.148

1.7E-20

−0.327

3.4E-42

0.382

NS

0.283

6.7E-72

0.147

7.8E-11

0.390

CC

0.314

6.0E-89

−0.115

2.4E-06

0.396

NP

−0.151

2.9E-21

0.085

1.3E-05

0.399

mEF

0.147

2.7E-20

−0.058

6.9E-05

0.401

CAI

0.302

3.7E-82

0.024

0.11874

0.402

mE

0.266

1.4E-63

0.036

0.02500

0.402

PL

0.038

0.00940

0.024

0.07566

0.403

DoC

0.106

1.8E-11

0.013

0.32555

0.403

CCo

0.250

3.0E-57

0.004

0.79730

0.403

  1. Note: The features from top to bottom in Column 1 are shown in accordance with the sequence in which they are added to the SRM. Data for gene essentiality in SCE and ECO originate from the relative growth rates of single-gene deletion yeast strains in nutrition-rich YPD medium [43] and E. coli chromosome (PEC) database profiling [44], respectively. Pearson correlations1 between gene essentiality and features are shown with a corresponding P-value2. True effect3 refers to the standardized regression coefficient in the model and it is presented with a related P-value4. R Square5 represents the ratio of the variance predicted by the SRM and the variance for gene essentiality.