Machine learning is a powerful tool to study the effect of cancer on species and ecosystems-Reference-Cited by-同舟云学术

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Machine learning is a powerful tool to study the effect of cancer on species and ecosystems

Published:2021-08-28 Issue:12 Volume:12 Page:2310-2323
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Dujon Antoine M.¹²³^ORCID,Vittecoq Marion²⁴⁵^ORCID,Bramwell Georgina¹³^ORCID,Thomas Frédéric²³⁴^ORCID,Ujvari Beata¹³^ORCID

Affiliation:

1. Geelong School of Life and Environmental Sciences Centre for Integrative Ecology Deakin University Waurn Ponds Victoria Australia

2. CREECUMR IRD 224‐CNRS 5290‐Université de Montpellier Montpellier France

3. CANECEV‐Centre de Recherches Ecologiques et Evolutives sur le cancer (CREEC) Montpellier France

4. MIVEGECUniversity of MontpellierCNRSIRD Montpellier France

5. Tour du Valat Research Institute for the Conservation of Mediterranean Wetlands Arles France

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13703

Reference151 articles.

1. Artificial intelligence as the next step towards precision pathology

2. A Region Based Convolutional Network for Tumor Detection and Classification in Breast Mammography

3. Cancer across the tree of life: cooperation and cheating in multicellularity

4. From humans to hydra: patterns of cancer across the tree of life

5. Liquid Biopsy: From Discovery to Clinical Application

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Behavioural ecology meets oncology: quantifying the recovery of animal behaviour to a transient exposure to a cancer risk factor;Proceedings of the Royal Society B: Biological Sciences;2024-02-14

2. A review of the methods used to induce cancer in invertebrates to study its effects on the evolution of species and ecosystem functioning;Methods in Ecology and Evolution;2022-07-25

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