Planning
Thursday, January 11, 2018
| Time |
Event |
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09:15 - 09:30
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Welcome address - Commité d'organisation |
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09:30 - 10:30
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Keynote 1: Lluis Quintana Murci |
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| 09:30 - 10:30 |
› Evolutionary genetic dissection of the genus Homo and its immune response - lluis Quintana Murci, 1Unit of Human Evolutionary Genetics, Institut Pasteur, Paris, France; 2CNRS URA3012, Paris, France. |
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10:30 - 10:50
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Coffee break |
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10:50 - 12:20
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Evolutionary models and Bayesian Inference - Pierre Pudlo |
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| 10:50 - 11:20 |
› Combining relaxed clocks with gene transfers to date species trees - Bastien Boussau, Laboratoire de Biométrie et Biologie Evolutive |
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| 11:20 - 11:50 |
› Improved estimators of the population recombination rata - Andreas Futschik, Johannes Kepler Universität Linz |
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| 11:50 - 12:20 |
› Inferring the genomic variation in introgression rates - Camille Roux, Université de Lille |
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12:20 - 13:50
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Lunch |
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13:50 - 14:50
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Contributed (Amphi) - Pierre Pudlo |
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| 13:50 - 14:10 |
› Estimation of Fst and tree inference under hierarchical population structure - Tristan Mary-Huard, Institut national de la recherche agronomique [Paris-siège] |
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| 14:10 - 14:30 |
› Model choice using Approximate Bayesian Computation via random forests: analyzes based on model grouping to make inferences about the genetic history of Pygmy human populations - Jean-Michel Marin, IMAG |
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| 14:30 - 14:50 |
› ABC random forests for Bayesian parameter inference - Louis Raynal, Institut Montpelliérain Alexander Grothendieck |
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14:50 - 15:50
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Keynote 2: Ruth Heller |
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|
| 14:50 - 15:50 |
› Estimation and testing following aggregated association tests - Ruth Heller, Tel Aviv University |
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15:50 - 16:10
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Coffee break |
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16:10 - 17:30
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Contributed (Amphi) |
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|
| 16:10 - 16:30 |
› Modeling Spatial Genomic Interactions with the Hawkes model - Anna Bonnet, Laboratoire de Biométrie et Biologie Evolutive |
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| 16:30 - 16:50 |
› From kmers to genetic events: compacted De Bruijn graphs shed light on bacterial GWAS - Magali Jaillard Dancette, bioMérieux, Laboratoire de Biométrie et Biologie Evolutive UMR5558 |
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| 16:50 - 17:10 |
› Multiple kernel learning for integrative clustering in genomic precision medicine - Alessandra Cabassi, MRC Biostatistics Unit, University of Cambridge |
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| 17:10 - 17:30 |
› Gene-specific identification of spatial associations between epigenomic marks - Gabriele Schweikert, University of Edinburgh |
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17:30 - 19:30
|
poster session and cocktail |
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| Time |
Event |
(+)
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09:00 - 10:00
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Keynote 3: Elizabeth Purdom (Amphi) |
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|
| 09:00 - 10:00 |
› Estimation of lineage trajectories from single cell mRNA data - Elizabeth Purdom, UC Berkeley |
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10:00 - 10:30
|
Single-cell |
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| 10:00 - 10:30 |
› Gene network inference using single-cell data: from mechanistic modelling to statistics - Ulysse Herbach, Laboratoire de Biologie et Modélisation de la Cellule, Inria team DRACULA, Institut Camille Jordan |
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10:30 - 10:50
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Coffee break |
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10:50 - 12:10
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Single-Cell / Contributed (Amphi) |
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|
| 10:50 - 11:20 |
› Splicing analysis in single-cell RNA-seq - Guido Sanguinetti, University of Edinburgh |
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| 11:20 - 11:50 |
› Information theoretic approaches to single cell gene regulatory network inference - Thalia Chan, Imperial College |
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| 11:50 - 12:10 |
› Variational Inference for Probabilistic Poisson PCA - Stéphane Robin, MIA-Paris |
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12:10 - 13:50
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Lunch |
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13:50 - 14:50
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Keynote 4: Peter Mueller (Amphi) |
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| 13:50 - 14:50 |
› The future of Bayesian clinical trial design - Peter Mueller, UT Austin Dpt of Statistics and Data Sc |
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14:50 - 15:50
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Non parametric Bayes and health - Alice Cleynen |
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| 14:50 - 15:20 |
› A Bayesian Nonparametric Approach to Ecological Risk Assessment - Julyan Arbel |
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| 15:20 - 15:50 |
› Modeling population structure under hierarchical Dirichlet processes - Lloyd Elliott, Oxford University |
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15:50 - 16:10
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Coffee break |
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16:10 - 17:10
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Contributed (Amphi) - Alice Cleynen |
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| 16:10 - 16:30 |
› Computing competing risks based on family history in genetic disease with variable age at onset - Alexandra Lefebvre, Laboratoire de Probabilité et Modèles Aléatoires |
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| 16:30 - 16:50 |
› Variable selection in multivariate linear models with high-dimensional covariance matrix estimation - Marie Perrot-Dockès, UMR MIA-Paris |
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| 16:50 - 17:10 |
› Multiway high-dimensional lasso-penalized analysis with imputation of missing data applied to postgenomic data in an Ebola vaccine trial - Hadrien Lorenzo |
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