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members:grigaill:welcome [2019/12/11 09:39] Guillem [Guillem Rigaill] |
members:grigaill:welcome [2024/01/31 13:52] (current) Guillem [Publications] |
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<WRAP group> | <WRAP group> | ||
<wrap first column> {{:members:grigaill:photo_gr.png?150|}} </wrap> | <wrap first column> {{:members:grigaill:photo_gr.png?150|}} </wrap> | ||
- | <wrap second colum> Researcher at INRA (CR), Computational Statistics for Biology \\ | + | <wrap second colum> Senior research scientist at INRAE (aka directeur de recherche). \\ |
- | I work in two labs: \\ | + | I am mostly interested in Computational Statistics for Molecular Biology. I work in two teams/labs: \\ |
- | 1) Laboratoire de Mathématiques et Modélisation d'Évry (LaMME) \\ | + | 1) [[http://www.math-evry.cnrs.fr/sg/welcome|Stat & Genome]], Laboratoire de Mathématiques et Modélisation d'Évry (LaMME) \\ |
- | 2) Genomics Networks Team, Institut des Sciences des Plantes de Paris-Saclay (IPS2) \\ | + | 2) [[http://ips2.u-psud.fr/en/research/pmin-department-plant-microbe-interactions-and-networks-biotic-interactions/gnet-genomics-networks.html|Genomics Networks Team]], Institut des Sciences des Plantes de Paris-Saclay (IPS2) \\ |
☎ +33 (0) 1 64 85 35 44 \\ | ☎ +33 (0) 1 64 85 35 44 \\ | ||
- | <firstname.lastname@inra.fr> \\ | + | <firstname.lastname@inrae.fr> \\ |
- | {{:members:grigaill:rigaill_cv_en.pdf|Curriculum Vitae}} \\ | + | {{:members:grigaill:rigaill_cv_en092020.pdf|Curriculum Vitae}}\\ |
- | {{:members:grigaill:publications.pdf|List of publications}} \\ | + | [[https://scholar.google.com/citations?user=Ve7EEQgAAAAJ&hl=en|List of publications (link to google scholar)]] \\ |
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===== Publications ===== | ===== Publications ===== | ||
- | A full list of my publication is available {{:members:grigaill:publications.pdf|here}}. \\ | + | A full list of my publication is available [[https://scholar.google.com/citations?user=Ve7EEQgAAAAJ&hl=en|here (link to google scholar)]]. \\ |
Here are a few recent publications: | Here are a few recent publications: | ||
+ | *[pre-print] Online Multivariate Changepoint Detection: Leveraging Links With Computational Geometry. L. Pishchagina, G. Romano, P. Fearnhead, V. Runge and G. Rigaill. In: **arXiv preprint arXiv:2311.01174** | ||
+ | *[pre-print] Ms. FPOP: an exact and fast segmentation algorithm with a multiscale penalty. A. Liehrmann, G Rigaill. In: **arXiv preprint arXiv:2303.08723** | ||
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+ | *[2023a] Fast online changepoint detection via functional pruning CUSUM statistics. G. Romano, I.A. Eckley, P. Fearnhead, and G. Rigaill. In: **Journal of Machine Learning Research** | ||
+ | *[2023b] DiffSegR: an RNA-seq data driven method for differential expression analysis using changepoint detection. A. Liehrmann, E. Delannoy, A. Launay-Avon, E. Gilbault, O. Loudet, B. Castandet and G. Rigaill. In: **NAR Genomics and Bioinformatics** | ||
+ | *[2023c] Adjusting the adjusted Rand Index: A multinomial story. M. Sundqvist, J. Chiquet, G. Rigaill. In: **Computational Statistics** | ||
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+ | *[2021a] Detecting abrupt changes in the presence of local fluctuations and autocorrelated noise. G. Romano, V. Runge, G. Rigaill, and P. Fearnhead. In: **Journal of the American Statistical Association** | ||
+ | *[2021b] Increased peak detection accuracy in over-dispersed ChIP-seq data with supervised segmentation models. A. Liehrmann, G. Rigaill, and Toby Dylan Hocking. In **BMC bioinformatics** | ||
+ | *[2021c] M. Guilcher, A. Lierhmann, C. Seyman, T. Blein, G. Rigaill, B. Castandet, and E. Delannoy "Full length transcriptome highlights the coordination of plastid transcript processing. In: **International journal of molecular sciences** | ||
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+ | *[2020a] Fast tree aggregation for consensus hierarchical clustering. A. Hulot, J. Chiquet, F. Jaffrézic, and G. Rigaill. In: **BMC bioinformatics** | ||
+ | * | ||
+ | *[2020b] A log-linear time algorithm for constrained changepoint detection. T.D. Hocking, G. Rigaill, P. Fearnhead, and G. Bourque. In: **JMLR** | ||
* [2019a] Adjacency-constrained hierarchical clustering of a band similarity matrix with application to Genomics. C. Ambroise, A. Dehman, P. Neuvial, G. Rigaill, and N. Vialaneix. In: **Algorithms for Molecular** | * [2019a] Adjacency-constrained hierarchical clustering of a band similarity matrix with application to Genomics. C. Ambroise, A. Dehman, P. Neuvial, G. Rigaill, and N. Vialaneix. In: **Algorithms for Molecular** | ||
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* [2018a] Changepoint detection in the presence of outliers. P. Fearnhead and G. Rigaill. In: **Journal of the American Statistical Association** | * [2018a] Changepoint detection in the presence of outliers. P. Fearnhead and G. Rigaill. In: **Journal of the American Statistical Association** | ||
- | * [2018b] 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, E. Delannoy, G. Rigaill, and E. Jenczewski. In: **New Phytologist** | ||
- | * [2016] Synthetic data sets for the identification of key ingredients for RNA-seq differential analysis. G. Rigaill Guillem et al. In: **Briefings in bioinformatics** | ||
- | * [2016] On optimal multiple changepoint algorithms for large data. R. Maidstone, T. Hocking, G. Rigaill and P. Fearnhead. In: **Statistics and Computing** | + | ===== My Ph.D. theses and "habilitation" ===== |
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- | * [2015a] Fast tree inference with weighted fusion penalties. J. Chiquet, P. Gutierrez, and G. Rigaill. In: **Journal of Computationnal and Graphical Statistics** | + | |
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- | * [2015b] T. D. Hocking, G. Rigaill, and G. Bourque. PeakSeg: constrained optimal segmentation and supervised penalty learning for peak detection in count data. In: Proceedings of The 32nd International Conference on Machine Learning, **ICML** | + | |
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+ | Habilitation (in french) : [[https://tel.archives-ouvertes.fr/tel-02955535|TEL-HAL]] - {{:members:grigaill:Pres_18092020.pdf|slides}} | ||
+ | Ph.D.: [[https://tel.archives-ouvertes.fr/pastel-00593939|TEL-HAL]] |