Machine learning accurately predicts the multivariate performance phenotype from morphology in lizards.

Lailvaux, Simon P; Mishra, Avdesh; Pun, Pooja; Ul Kabir, Md Wasi; Wilson, Robbie S; Herrel, Anthony; Hoque, Md Tamjidul

Lailvaux, Simon P; Mishra, Avdesh; Pun, Pooja; Ul Kabir, Md Wasi; Wilson, Robbie S; Herrel, Anthony; Hoque, Md Tamjidul.

Afiliação

Lailvaux SP; Department of Biological Sciences, The University of New Orleans, New Orleans, LA, United States of America.
Mishra A; Department of Electrical Engineering and Computer Science, Texas A&M University-Kingsville, Kingsville, TX, United States of America.
Pun P; Department of Computer Science, The University of New Orleans, New Orleans, LA, United States of America.
Ul Kabir MW; Department of Computer Science, The University of New Orleans, New Orleans, LA, United States of America.
Wilson RS; School of Biological Sciences, The University of Queensland, St. Lucia, Queensland, Australia.
Herrel A; Département Adaptations du Vivant, UMR 7179 C.N.R.S/M.N.H.N., Paris, France.
Hoque MT; Department of Computer Science, The University of New Orleans, New Orleans, LA, United States of America.

PLoS One ; 17(1): e0261613, 2022.

Article em En | MEDLINE | ID: mdl-35061733

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Evolução Biológica

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Evolução Biológica Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo

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XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Evolução Biológica Idioma: En Ano de publicação: 2022 Tipo de documento: Article