Apr 13, 2019 · We report on a study evaluating INC on a range of simulated datasets, and show that it has very poor accuracy in comparison to standard methods.

Dec 31, 2018 · We report on a study evaluating INC on a range of simulated datasets, and show that it has very poor accuracy in comparison to standard methods.

We report on a study evaluating INC on a range of simulated datasets, and show that it has very poor accuracy in comparison to standard methods. We also explore ...

We report on a study evaluating INC on a range of simulated datasets, and show that it has very poor accuracy in comparison to standard methods. We also explore ...

INC-ML is presented, a divide-and-conquer approach to maximum likelihood (ML) estimation that comes close to the leading ML heuristics in terms of accuracy, ...

Jan 27, 2019 · This repository include datasets that are studied with INC/INC-ML/INC-NJ in the paper `Using INC within Divide-and-Conquer Phylogeny ...

A variant of INC, called Constrained-INC, is designed for use in divide-and-conquer pipelines for phylogeny estimation where a set of species is divided into ...

, Using INC Within Divide-and-Conquer Phylogeny Estimation ·; Le, Thien; Sy, Aaron; Molloy, Erin K; Zhang, Qiuyi; Rao, Satish; Warnow, Tandy ·, ISSN: 0302-9743 ...

We report on a study evaluating INC on a range of simulated datasets, and show that it has very poor accuracy in comparison to standard methods. We also explore ...

Thien Le , Aaron Sy, Erin K. Molloy , Qiuyi (Richard) Zhang, Satish Rao, Tandy J. Warnow : Using INC Within Divide-and-Conquer Phylogeny Estimation.