Projekt per år
Sammanfattning
Recent research has revealed new applications of network control science within biomedicine, pharmacology, and medical therapeutics. These new insights and new applications generated in turn a rediscovery of some old, unresolved algorithmic questions, this time with a much stronger motivation for their tackling. One of these questions regards the socalled Structural Target Control optimization problem, known in previous literature also as Structural Output Controllability problem. Given a directed network (graph) and a target subset of nodes, the task is to select a small (or the smallest) set of nodes from which the target can be independently controlled, i.e., it can be driven from any given initial configuration to any desired final one, through a finite sequence of input values. In recent work, this problem has been shown to be NPhard, and several heuristic algorithms were introduced and analyzed, both on randomly generated networks, and on biomedical ones. In this paper, we show that the Structural Target Controllability problem is fixed parameter tractable when parameterized by the number of target nodes. We also prove that the problem is hard to approximate at a factor better than O(logn)" role="presentation">O(logn).
Originalspråk  Odefinierat/okänt 

Titel på värdpublikation  Algorithms for Computational Biology : 5th International Conference, AlCoB 2018, Hong Kong, China, June 25–26, 2018, Proceedings 
Redaktörer  Jansson Jesper, MartinVide Carlos, VegaRodriguez Miguel 
Förlag  Springer 
Sidor  103–114 
ISBN (elektroniskt)  9783319919386 
ISBN (tryckt)  9783319919379 
DOI  
Status  Publicerad  2018 
MoEpublikationstyp  A4 Artikel i en konferenspublikation 
Evenemang  International Conference on Algorithms for Computational Biology (AlCoB)  5th International Conference on Algorithms for Computational Biology, AlCoB Varaktighet: 25 juni 2018 → 26 juni 2018 
Konferens
Konferens  International Conference on Algorithms for Computational Biology (AlCoB) 

Period  25/06/18 → 26/06/18 
Nyckelord
 Cancer
 Efficient algorithms
 Graphsearch algorithms
 computational complexity
Projekt
 1 Slutfört

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