Found: 12
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ACM bundles on cubic surfaces.
- Published in:
- Journal of the European Mathematical Society (EMS Publishing), 2011, v. 13, n. 3, p. 709, doi. 10.4171/JEMS/265
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- Article
El modelo evolutivo de Kimura: un enlace entre el álgebra, la estadística y la biología.
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- Gaceta de la Real Sociedad Matematica Espanola, 2018, v. 21, n. 2, p. 241
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- Article
Designing Weights for Quartet-Based Methods When Data are Heterogeneous Across Lineages.
- Published in:
- Bulletin of Mathematical Biology, 2023, v. 85, n. 7, p. 1, doi. 10.1007/s11538-023-01167-y
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- Article
Algebraic Methods in Phylogenetics.
- Published in:
- Bulletin of Mathematical Biology, 2019, v. 81, n. 2, p. 313, doi. 10.1007/s11538-018-00551-3
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- Article
GenNon-h: Generating multiple sequence alignments on nonhomogeneous phylogenetic trees.
- Published in:
- BMC Bioinformatics, 2012, v. 13, n. 1, p. 216, doi. 10.1186/1471-2105-13-216
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- Article
The space of phylogenetic mixtures for equivariant models.
- Published in:
- Algorithms for Molecular Biology, 2012, v. 7, n. 1, p. 1, doi. 10.1186/1748-7188-7-33
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- Article
STABLE ULRICH BUNDLES.
- Published in:
- International Journal of Mathematics, 2012, v. 23, n. 8, p. 1250083-1, doi. 10.1142/S0129167X12500838
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- Article
Embeddability and rate identifiability of Kimura 2-parameter matrices.
- Published in:
- Journal of Mathematical Biology, 2020, v. 80, n. 4, p. 995, doi. 10.1007/s00285-019-01446-0
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- Article
Phylogenetic mixtures and linear invariants for equal input models.
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- Journal of Mathematical Biology, 2017, v. 74, n. 5, p. 1107, doi. 10.1007/s00285-016-1055-8
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- Publication type:
- Article
Invariant Versus Classical Quartet Inference When Evolution is Heterogeneous Across Sites and Lineages.
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- Systematic Biology, 2016, v. 65, n. 2, p. 280, doi. 10.1093/sysbio/syv086
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- Article
EM for phylogenetic topology reconstruction on nonhomogeneous data.
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- BMC Evolutionary Biology, 2014, v. 14, n. 1, p. 1, doi. 10.1186/1471-2148-14-132
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- Publication type:
- Article
A new method of moments for latent variable models.
- Published in:
- Machine Learning, 2018, v. 107, n. 8-10, p. 1431, doi. 10.1007/s10994-018-5706-4
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- Publication type:
- Article