Name
Abstract | ||
|---|---|---|
We summarise our recent research results on developing efficient and scalable control methods for gene regulatory networks modelled as asynchronous Boolean networks. Our methods compute a minimal subset of nodes of a given Boolean network, such that (different types of) perturbations of these nodes, in one step or a sequence of steps, can drive the network (from an initial state) to a target steady state. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/978-3-030-31304-3_28 | COMPUTATIONAL METHODS IN SYSTEMS BIOLOGY (CMSB 2019) |
Field | DocType | Volume |
Boolean network,Asynchronous communication,Computer science,Theoretical computer science,Steady state,Gene regulatory network,Scalability | Conference | 11773 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cui Su | 1 | 5 | 3.46 |
| Soumya Paul | 2 | 29 | 5.87 |
| Jun Pang | 3 | 521 | 30.59 |