FBApro computes the nearest steady-state flux distribution to a reference vector via a closed-form linear projection derived from orthogonal projections onto affine spaces.
What is flux balance analysis?Nature biotechnology, 28(3):245–248, 2010
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A gene importance ranking method splits large MILP problems for metabolic network design into parallel subproblems, recovering most original solutions while raising success rates 37-186% under fixed time limits.
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FBApro: A fast, simple linear transformation for diverse metabolic modeling tasks
FBApro computes the nearest steady-state flux distribution to a reference vector via a closed-form linear projection derived from orthogonal projections onto affine spaces.
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A Gene Ranking Framework Enhances the Design Efficiency of Genome-Scale Constraint-Based Metabolic Networks under Time Limits
A gene importance ranking method splits large MILP problems for metabolic network design into parallel subproblems, recovering most original solutions while raising success rates 37-186% under fixed time limits.