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Table 5 Summary of approaches that address sources of uncertainty in flux simulation. Highlighted in bold are key approaches related to probabilistic or ensemble-based methods

From: Addressing uncertainty in genome-scale metabolic model reconstruction and analysis

Approach

Sources of uncertainty

References

Alternative objective functions

Undefined cellular objective

[130,131,132, 134, 135]

Suboptimal solutions

Undefined cellular objective

[136,137,138]

Characterization of optimal solutions

Degenerate otimal solutions

[141,142,143,144,145]

Characterization of steady-state solution space

Degenerate solution space

[146,147,148,149]

Random sampling

Degenerate solution space

[151,152,153,154,155,156,157,158,159,160]

Random sampling with probabilistic biases

Degenerate solution space

[161, 162, 165]

Added constraints

Degenerate solution space

[55, 168,169,170,171,172,173,174, 177,178,179, 182,183,184,185]

Relaxed steady-state assumption

Steady-state assumption

[188, 189]