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

BMC Bioinformatics

Table 1 The Δ symbols and lower-cases represent deletion mutations, and OX represents over-expression modifications

Strains	Average RLS	Network Model			Gomperz Model		AIC Comparison
		R	t0	n	Gompertz R	Gompertz G	Weibull AIC	Gompertz AIC	Network AIC
BY4742	26.6±0.566	0.0047±8e−04	56.2±10.1	7.9±0.825	0.0066±0.00088	0.09±0.006	1832.25±24.31	1878.29±23.16	1863.53±24.45
sir2Δ	13.96±0.337	0.0028±5e−04	16.6±1.9	8±0.3	0.0035±0.0012	0.29±0.031	483.1±15.47	493.59±15.53	494.34±12.18
SIR2OX	34.72±1.424	0.0033±7e−04	65.2±7.5	7.8±0.514	0.0038±0.00103	0.08±0.009	457.75±8.83	472.71±9.01	471.46±8.46
fob1Δ	37.72±1.119	0.0032±6e−04	71.4±5.7	7.6±0.468	0.0035±0.00068	0.07±0.006	1121.55±13.38	1133.84±13.55	1134.36±12.42
hxk2Δ	36.77±1.596	0.0057±0.001	101.3±12.9	7.5±0.629	0.0067±0.00109	0.05±0.003	1006.87±13.51	1017.62±9	1016.83±10.47
fob1Δhxk2Δ	48.46±1.565	0.0051±0.0013	118.1±8.3	6.5±0.671	0.0041±0.00063	0.04±0.003	1430.63±12.85	1427.9±11.46	1435.6±13.08

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

ISSN: 1471-2105