| Approximate Bayesian computation (ABC) in practice K Csilléry, MGB Blum, OE Gaggiotti, O François Trends in Ecology & Evolution 25 (7), 410-418, 2010 | 1498 | 2010 |
| pcadapt: an R package to perform genome scans for selection based on principal component analysis K Luu, E Bazin, MGB Blum Molecular ecology resources 17 (1), 67-77, 2017 | 912 | 2017 |
| abc: an R package for Approximate Bayesian Computation (ABC) K Csilléry, O François, MGB Blum Methods in Ecology and Evolution 3, 475-479, 2011 | 767 | 2011 |
| Evolutionary history and global spread of the Mycobacterium tuberculosis Beijing lineage M Merker, C Blin, S Mona, N Duforet-Frebourg, S Lecher, E Willery, ... Nature genetics 47 (3), 242-249, 2015 | 605 | 2015 |
| Non-linear regression models for Approximate Bayesian Computation MGB Blum, O François Statistics and Computing 20 (1), 63-73, 2010 | 596 | 2010 |
| Genomic variation in seven Khoe-San groups reveals adaptation and complex African history CM Schlebusch, P Skoglund, P Sjödin, LM Gattepaille, D Hernandez, ... Science 338 (6105), 374-379, 2012 | 499 | 2012 |
| The goat domestication process inferred from large-scale mitochondrial DNA analysis of wild and domestic individuals S Naderi, HR Rezaei, F Pompanon, MGB Blum, R Negrini, HR Naghash, ... Proceedings of the National Academy of Sciences 105 (46), 17659-17664, 2008 | 474 | 2008 |
| A comparative review of dimension reduction methods in approximate Bayesian computation MGB Blum, MA Nunes, D Prangle, SA Sisson | 460 | 2013 |
| Efficient analysis of large-scale genome-wide data with two R packages: bigstatsr and bigsnpr F Privé, H Aschard, A Ziyatdinov, MGB Blum Bioinformatics 34 (16), 2781-2787, 2018 | 304 | 2018 |
| Approximate Bayesian Computation: a nonparametric perspective MGB Blum Journal of the American Statistical Association 105 (491), 1178-1187, 2010 | 291 | 2010 |
| Demographic history of European populations of Arabidopsis thaliana O François, MGB Blum, M Jakobsson, NA Rosenberg PLoS genetics 4 (5), e1000075, 2008 | 237 | 2008 |
| Which random processes describe the tree of life? A large-scale study of phylogenetic tree imbalance MGB Blum, O François Systematic Biology 55 (4), 685-691, 2006 | 232 | 2006 |
| Performing highly efficient genome scans for local adaptation with R package pcadapt version 4 F Privé, K Luu, BJ Vilhjálmsson, MGB Blum Molecular Biology and Evolution 37 (7), 2153-2154, 2020 | 199 | 2020 |
| Evaluation of redundancy analysis to identify signatures of local adaptation T Capblancq, K Luu, MGB Blum, E Bazin Molecular ecology resources 18 (6), 1223-1233, 2018 | 189 | 2018 |
| Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients N Lassau, S Ammari, E Chouzenoux, H Gortais, P Herent, M Devilder, ... Nature communications 12 (1), 1-11, 2021 | 188 | 2021 |
| Making the most of clumping and thresholding for polygenic scores F Privé, BJ Vilhjálmsson, H Aschard, MGB Blum The American journal of human genetics 105 (6), 1213-1221, 2019 | 181 | 2019 |
| Detecting genomic signatures of natural selection with principal component analysis: application to the 1000 genomes data N Duforet-Frebourg, K Luu, G Laval, E Bazin, MGB Blum Molecular biology and evolution 33 (4), 1082-1093, 2016 | 167 | 2016 |
| apTreeshape: statistical analysis of phylogenetic tree shape N Bortolussi, E Durand, M Blum, O François Bioinformatics 22 (3), 363-364, 2006 | 140 | 2006 |
| Genome scans for detecting footprints of local adaptation using a Bayesian factor model N Duforet-Frebourg, E Bazin, MGB Blum Molecular biology and evolution 31 (9), 2483-2495, 2014 | 127 | 2014 |
| On statistical tests of phylogenetic tree imbalance: the Sackin and other indices revisited MGB Blum, O François Mathematical biosciences 195 (2), 141-153, 2005 | 126 | 2005 |
Olivier FrancoisEnsimag, Univ. Grenoble AlpesVerified email at imag.fr
