Matthieu Foll

Genetics · 2008–2018

A researcher in the Science corpus: 6 papers; trusts 26 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

• Genetics — 70 citations into it; #396 of 6,854 by trust here, #1,315 by citations
• Molecular Biology — 34 citations into it
• Statistics and Probability — 29 citations into it
• Artificial Intelligence — 23 citations into it
• Ecology — 10 citations into it
• Computational Biology & Bioinformatics — 6 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Matthieu Foll trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. David J. Balding
2. MARK A. Beaumont
3. Peter J. Green
4. Kent E. Holsinger
5. Daniel Falush
6. C. Wilding
7. Rasmus Nielsen
8. Laurent Excoffier
9. Matthew Stephens
10. J. K. Pritchard

Who trusts Matthieu Foll overall

1. MARK A. Beaumont
2. P. Meirmans
3. Eric Bazin
4. M. Fitzpatrick
5. P. Villemereuil
6. Laurent Excoffier
7. Keurcien Luu
8. Graham Coop
9. Sean M. Hoban
10. Bastian Pfeifer

Papers from Matthieu Foll's perspective

Ordered by how strongly the researchers Matthieu Foll trusts endorse each paper. Same corpus, a different order for every researcher.

1. Markov chain Monte Carlo without likelihoods
2. Approximate Bayesian computation in population genetics.
3. Estimation of population growth or decline in genetically monitored populations.
4. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
5. A Genome-Scan Method to Identify Selected Loci Appropriate for Both Dominant and Codominant Markers: A Bayesian Perspective (Genetics)
6. Sequential Monte Carlo without likelihoods
7. The pseudo-marginal approach for efficient Monte Carlo computations
8. Non-linear regression models for Approximate Bayesian Computation (Statistics and computing)
9. Approximate Bayesian Computation in Evolution and Ecology
10. Constructing summary statistics for approximate Bayesian computation: semi‐automatic approximate Bayesian computation

Their papers

• Prediction of acute myeloid leukaemia risk in healthy individuals (2018) — 766 citations
• Robust Demographic Inference from Genomic and SNP Data (2013) — 1,368 citations
• Approximate Bayesian Computation (2013) — 421 citations
• Detecting loci under selection in a hierarchically structured population (2009) — 808 citations
• Genetic Consequences of Range Expansions (2009) — 1,278 citations
• A Genome-Scan Method to Identify Selected Loci Appropriate for Both Dominant and Codominant Markers: A Bayesian Perspective (2008) — 2,698 citations