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Overtraining often results in topologically incorrect species trees with maximum likelihood methods
Damien M. de Vienne, View ORCID ProfileFran Supek, Toni Gabaldon
doi: https://doi.org/10.1101/140780
Damien M. de Vienne
1Université de Lyon, F-69000, Lyon; Université Lyon 1; CNRS, UMR5558, Laboratoire de Biométrie et Biologie Evolutive, F-69622, Villeurbanne, France.
Fran Supek
2Centre for GenomicRegulation (CRG), Dr, Aiguader 88, 08003 Barcelona, Spain.
3Universitat PompeuFabra (UPF), 08003 Barcelona, Spain.
4Division of Electronics, Rudjer Boskovic Institute, 10000 Zagreb, Croatia.
Toni Gabaldon
2Centre for GenomicRegulation (CRG), Dr, Aiguader 88, 08003 Barcelona, Spain.
3Universitat PompeuFabra (UPF), 08003 Barcelona, Spain.
5Institució Catalana de Recerca i Estudis Avançats (ICREA), Pg. Lluís Companys 23, 08010 Barcelona, Spain.
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Posted May 22, 2017.
Overtraining often results in topologically incorrect species trees with maximum likelihood methods
Damien M. de Vienne, Fran Supek, Toni Gabaldon
bioRxiv 140780; doi: https://doi.org/10.1101/140780
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