| Oxidative stress promotes myofibroblast differentiation and tumour spreading A Toullec, D Gerald, G Despouy, B Bourachot, M Cardon, S Lefort, ... EMBO molecular medicine 2 (6), 211-230, 2010 | 370 | 2010 |
| Genome Alteration Print (GAP): a tool to visualize and mine complex cancer genomic profiles obtained by SNP arrays T Popova, E Manié, D Stoppa-Lyonnet, G Rigaill, E Barillot, MH Stern Genome biology 10, 1-14, 2009 | 303 | 2009 |
| Frequent PTEN genomic alterations and activated phosphatidylinositol 3-kinase pathway in basal-like breast cancer cells B Marty, V Maire, E Gravier, G Rigaill, A Vincent-Salomon, M Kappler, ... Breast Cancer Research 10, 1-15, 2008 | 278 | 2008 |
| Diaphanous-related formins are required for invadopodia formation and invasion of breast tumor cells F Lizárraga, R Poincloux, M Romao, G Montagnac, G Le Dez, I Bonne, ... Cancer research 69 (7), 2792-2800, 2009 | 224 | 2009 |
| On optimal multiple changepoint algorithms for large data R Maidstone, T Hocking, G Rigaill, P Fearnhead Statistics and computing 27, 519-533, 2017 | 212 | 2017 |
| Polo-like kinase 1: a potential therapeutic option in combination with conventional chemotherapy for the management of patients with triple-negative breast cancer V Maire, F Némati, M Richardson, A Vincent-Salomon, B Tesson, G Rigaill, ... Cancer research 73 (2), 813-823, 2013 | 210 | 2013 |
| Changepoint detection in the presence of outliers P Fearnhead, G Rigaill Journal of the American Statistical Association 114 (525), 169-183, 2019 | 170 | 2019 |
| TTK/hMPS1 is an attractive therapeutic target for triple-negative breast cancer V Maire, C Baldeyron, M Richardson, B Tesson, A Vincent-Salomon, ... PloS one 8 (5), e63712, 2013 | 169 | 2013 |
| Joint segmentation, calling, and normalization of multiple CGH profiles F Picard, E Lebarbier, M Hoebeke, G Rigaill, B Thiam, S Robin Biostatistics 12 (3), 413-428, 2011 | 140 | 2011 |
| Pruned dynamic programming for optimal multiple change-point detection G Rigaill arXiv preprint arXiv:1004.0887 17, 1488, 2010 | 138 | 2010 |
| Two interacting PPR proteins are major Arabidopsis editing factors in plastid and mitochondria D Guillaumot, M Lopez-Obando, K Baudry, A Avon, G Rigaill, ... Proceedings of the National Academy of Sciences 114 (33), 8877-8882, 2017 | 114 | 2017 |
| A pruned dynamic programming algorithm to recover the best segmentations with 1 to K_max change-points. G Rigaill Journal de la Société Française de Statistique 156 (4), 180-205, 2015 | 109 | 2015 |
| Transcriptome analysis of Wnt3a-treated triple-negative breast cancer cells S Maubant, B Tesson, V Maire, M Ye, G Rigaill, D Gentien, F Cruzalegui, ... PloS one 10 (4), e0122333, 2015 | 82 | 2015 |
| Independent introductions and admixtures have contributed to adaptation of European maize and its American counterparts JT Brandenburg, T Mary-Huard, G Rigaill, SJ Hearne, H Corti, J Joets, ... PLoS genetics 13 (3), e1006666, 2017 | 77 | 2017 |
| Homoeologous exchanges cause extensive dosage‐dependent gene expression changes in an allopolyploid crop A Lloyd, A Blary, D Charif, C Charpentier, J Tran, S Balzergue, ... New Phytologist 217 (1), 367-377, 2018 | 75 | 2018 |
| Exact posterior distributions and model selection criteria for multiple change-point detection problems G Rigaill, E Lebarbier, S Robin Statistics and computing 22 (4), 917-929, 2012 | 69 | 2012 |
| High-resolution mapping of DNA breakpoints to define true recurrences among ipsilateral breast cancers MA Bollet, N Servant, P Neuvial, C Decraene, I Lebigot, JP Meyniel, ... JNCI: Journal of the National Cancer Institute 100 (1), 48-58, 2008 | 68 | 2008 |
| Learning sparse penalties for change-point detection using max margin interval regression T Hocking, G Rigaill, JP Vert, F Bach international conference on machine learning, 172-180, 2013 | 67 | 2013 |
| New efficient algorithms for multiple change-point detection with reproducing kernels A Celisse, G Marot, M Pierre-Jean, GJ Rigaill Computational Statistics & Data Analysis 128, 200-220, 2018 | 63 | 2018 |
| Synthetic data sets for the identification of key ingredients for RNA-seq differential analysis G Rigaill, S Balzergue, V Brunaud, E Blondet, A Rau, O Rogier, J Caius, ... Briefings in bioinformatics 19 (1), 65-76, 2018 | 62 | 2018 |
Thierry DuboisInstitut Curie在 curie.fr 的电子邮件经过验证
