Perspectives and applications of machine learning for evolutionary developmental biology-Reference-Cited by-同舟云学术

Perspectives and applications of machine learning for evolutionary developmental biology

Author:

Feltes Bruno César¹²³⁴^ORCID,Grisci Bruno Iochins¹²³⁴^ORCID,Poloni Joice de Faria⁵²³⁴^ORCID,Dorn Márcio¹²³⁴^ORCID

Affiliation:

1. Institute of Informatics

2. Federal University of Rio Grande do Sul

3. Porto Alegre

4. Brazil

5. Institute of Biotechnology

Abstract

In this review, we aim to expose the current advances of machine learning applied to evolution and development.

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul

Alexander von Humboldt-Stiftung

Microsoft Research

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Royal Society of Chemistry (RSC)

Subject

Genetics,Molecular Biology,Biochemistry

Link

Reference183 articles.

4. R. Brown , Entangled Life , Elsevier Inc , Springer , Dordrecht , 1st edn, 2014 , pp. 237–260

5. A. M. Cheatle Jarvela and L.Pick , Current Topics in Developmental Biology , Academic Press, Elsevier Inc , 1st edn, 2016 , vol. 117, pp. 253–274

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