Reconstructing the shape of a tree from observed dissimilarity data
Advances in Applied Mathematics
Journal of the ACM (JACM)
A fixed-parameter algorithm for minimum quartet inconsistency
Journal of Computer and System Sciences - Special issue on Parameterized computation and complexity
Rooted Maximum Agreement Supertrees
Algorithmica
Maximum agreement and compatible supertrees
Journal of Discrete Algorithms
Proceedings of the thirty-ninth annual ACM symposium on Theory of computing
Aggregating inconsistent information: Ranking and clustering
Journal of the ACM (JACM)
New Results on Optimizing Rooted Triplets Consistency
ISAAC '08 Proceedings of the 19th International Symposium on Algorithms and Computation
ICALP '09 Proceedings of the 36th International Colloquium on Automata, Languages and Programming: Part I
On problems without polynomial kernels
Journal of Computer and System Sciences
Problem kernels for NP-complete edge deletion problems: split and related graphs
ISAAC'07 Proceedings of the 18th international conference on Algorithms and computation
Fixed-parameter tractability of the maximum agreement supertree problem
CPM'07 Proceedings of the 18th annual conference on Combinatorial Pattern Matching
Conflict packing yields linear vertex-kernels for k-FAST, k-dense RTI and a related problem
MFCS'11 Proceedings of the 36th international conference on Mathematical foundations of computer science
Kernel and fast algorithm for dense triplet inconsistency
Theoretical Computer Science
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We study the parameterized complexity of inferring supertrees from sets of rooted triplets, an important problem in phylogenetics For a set L of labels and a dense set $\mathcal R$ of triplets distinctly leaf-labeled by 3-subsets of L we seek a tree distinctly leaf-labeled by L and containing all but at most p triplets from $\mathcal R$ as homeomorphic subtree Our results are the first polynomial kernel for this problem, with O(p2) labels, and a subexponential fixed-parameter algorithm running in time $2^{O(p^{1/3} \log p)} + O(n^4)$.