Harvard Catalyst Profiles

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Louis Raynal, Ph.D.

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Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Collin FD, Durif G, Raynal L, Lombaert E, Gautier M, Vitalis R, Marin JM, Estoup A. Extending approximate Bayesian computation with supervised machine learning to infer demographic history from genetic polymorphisms using DIYABC Random Forest. Mol Ecol Resour. 2021 May 05. PMID: 33950563.
    Citations: 1     Fields:    
  2. Le TM, Raynal L, Talbot O, Hambridge H, Drovandi C, Mira A, Mengersen K, Onnela JP. Policies for Easing COVID-19 Pandemic Travel Restrictions. medRxiv. 2021 Apr 20. PMID: 33907768.
    Citations:    
  3. Chapuis MP, Raynal L, Plantamp C, Meynard CN, Blondin L, Marin JM, Estoup A. A young age of subspecific divergence in the desert locust inferred by ABC random forest. Mol Ecol. 2020 12; 29(23):4542-4558. PMID: 33000872.
    Citations:    Fields:    Translation:AnimalsCells
  4. Raynal L, Marin JM, Pudlo P, Ribatet M, Robert CP, Estoup A. ABC random forests for Bayesian parameter inference. Bioinformatics. 2019 05 15; 35(10):1720-1728. PMID: 30321307.
    Citations: 8     Fields:    Translation:Humans
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.