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Table 2 Application of the network aging model in yeast natural isolates

From: Estimating network changes from lifespan measurements using a parsimonious gene network model of cellular aging

Strains

Average RLS

Network Model

Gomperz Model

AIC Comparison

  

R

t0

n

Gompertz R

Gompertz G

Weibull AIC

Gompertz AIC

Network AIC

101S

31.46±0.815

0.0025±9e−04

36±5.5

6.7±0.697

0.0012±0.00063

0.14±0.024

582.72±16.95

589.2±20.1

608.56±12.37

M1-2

27.9±1.29

0.0034±0.001

40.5±5.3

7.1±0.76

0.0026±0.00117

0.13±0.017

393.19±10.51

389.76±10.11

397.27±6.96

M13

26.6±1.064

0.0034±9e−04

40.8±4.2

7.4±0.64

0.003±0.0011

0.12±0.012

520.85±18.13

504±10.2

510.83±8.61

M14

36.32±1.621

0.0035±0.001

55.1±6.6

6.6±0.637

0.0021±0.00093

0.09±0.011

476.9±8.55

470.91±8.86

480.81±6.33

M2-8

24.77±0.733

0.0034±6e−04

42.4±4

8±0.109

0.0043±0.00104

0.12±0.011

738.35±14.92

748.01±13.64

746.64±13.4

M22

32.07±1.359

0.0033±0.001

46.3±11.8

6.9±1.508

0.002±0.00073

0.11±0.011

449.76±9.87

447.31±8.14

456.56±6.9

M32

28.15±0.973

0.0027±0.0011

34.3±2.6

7±0.714

0.0016±0.00046

0.15±0.011

402.89±10.32

411.68±8.67

419.48±9.48

M34

27.02±0.997

0.0028±7e−04

31.4±3.5

6.7±0.616

0.0013±7e−04

0.16±0.018

408.27±14.11

397.81±10.93

411.9±7.43

M5

36.85±0.942

0.0034±6e−04

74±7.2

7.8±0.381

0.004±0.00085

0.07±0.007

1321.34±14.32

1343.21±17.23

1339.61±14.58

M8

34.79±0.969

0.0018±3e−04

30.7±2.9

6.1±0.207

4e−04±0.00018

0.16±0.016

401.29±10.71

404.45±10.6

431.77±5.99

RM112N

44.13±1.751

0.0025±6e−04

55.4±6

6.2±0.375

0.0011±0.00047

0.09±0.01

470.48±11.35

466.79±10.27

481.52±6.92

S288c

26.36±1.501

0.0051±0.0017

56.8±12.9

7.9±1.341

0.0062±0.00202

0.09±0.016

309.61±9.31

310.8±8.3

312.08±8.13

SGU57

23.9±1.319

0.0065±0.0021

58±19.7

7.9±1.505

0.0077±0.00234

0.09±0.011

439.51±8.84

435.81±7.11

438.37±7.38

YPS128

35.08±1.125

0.0026±8e−04

41.9±3.9

6.5±0.486

0.0011±0.00045

0.12±0.011

507.62±12.55

506.89±11.38

522.34±8.71

YPS163

34.41±0.699

0.0023±5e−04

37.3±2.6

6.4±0.428

8e−04±0.00023

0.13±0.01

923.64±14.97

922.83±15.07

957.15±10.43

  1. Replicative lifespans of each strain were resampled 100 times using the bootstrap with replacement method. Each resampled lifespan data set was fitted with the proposed network aging model using the maximal likelihood method. The maximal likelihood estimations from fitting to 100 bootstraps were averaged