Lucie Gattepaille
Lucie Gattepaille
Data Scientist at the Uppsala Monitoring Centre
Adresse e-mail validée de who-umc.org
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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
3342012
Human adaptation to arsenic-rich environments
CM Schlebusch, LM Gattepaille, K Engström, M Vahter, M Jakobsson, ...
Molecular biology and evolution 32 (6), 1544-1555, 2015
972015
Robustness analysis and behavior discrimination in enzymatic reaction networks
A Donzé, E Fanchon, LM Gattepaille, O Maler, P Tracqui
PloS one 6 (9), e24246, 2011
702011
Inferring population size changes with sequence and SNP data: lessons from human bottlenecks
LM Gattepaille, M Jakobsson, MGB Blum
Heredity 110 (5), 409-419, 2013
512013
Demographic inferences using short‐read genomic data in an approximate Bayesian computation framework: In silico evaluation of power, biases and proof of concept in Atlantic walrus
ABA Shafer, LM Gattepaille, REA Stewart, JBW Wolf
Molecular Ecology 24 (2), 328-345, 2015
462015
Combining markers into haplotypes can improve population structure inference
LM Gattepaille, M Jakobsson
Genetics 190 (1), 159-174, 2012
412012
Inferring past effective population size from distributions of coalescent times
L Gattepaille, T Günther, M Jakobsson
Genetics 204 (3), 1191-1206, 2016
142016
HaploPOP: a software that improves population assignment by combining markers into haplotypes
N Duforet-Frebourg, LM Gattepaille, MGB Blum, M Jakobsson
BMC bioinformatics 16 (1), 1-8, 2015
72015
Disproportionality analysis for pharmacovigilance signal detection in small databases or subsets: recommendations for limiting false-positive associations
O Caster, Y Aoki, LM Gattepaille, B Grundmark
Drug Safety 43 (5), 479-487, 2020
22020
765 Sen Li, Michael De Jongh, Andrew Singleton, Michael GB Blum, et al. Genomic variation in seven 766 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
22012
Prospective Evaluation of Adverse Event Recognition Systems in Twitter: Results from the Web-RADR Project
LM Gattepaille, SH Vidlin, T Bergvall, CE Pierce, J Ellenius
Drug Safety 14, 2020
12020
Adverse Events in Twitter-Development of a Benchmark Reference Dataset: Results from IMI WEB-RADR
J Dietrich, LM Gattepaille, BA Grum, L Jiri, M Lerch, D Sartori, ...
Drug safety, 1-12, 2020
12020
Adverse event recognition in tweets: results from a WEB-RADAR project
L Gattepaille, SH Vidlin, T Bergvall, J Ellenius
DRUG SAFETY 41 (11), 1160-1161, 2018
12018
Probabilistic record linkage to detect duplicated content in twitter prior to pharmacovigilance analyses
T Bergvall, L Gattepaille, S Vidlin, N Noren
PHARMACOEPIDEMIOLOGY AND DRUG SAFETY 27, 347-347, 2018
12018
Detecting and Encoding Mentions of Suspected Adverse Events in Twitter Using Natural Language Processing
J Ellenius, LM Gattepaille, S Vidlin, C Pierce, T Bergvall
PHARMACOEPIDEMIOLOGY AND DRUG SAFETY 26, 36-37, 2017
12017
Population Genetic Methods and Applications to Human Genomes
L Gattepaille
Acta Universitatis Upsaliensis, 2015
12015
AE system developed for Twitter has poor transferability
LM Gattepaille
Reactions 1805, 4-23, 2020
2020
Disproportionality Analysis in Small National Databases: Robust Results but Questionable Utility
O Caster, B Grundmark, Y Aoki, L Gattepaille
DRUG SAFETY 42 (10), 1220-1220, 2019
2019
Recommendations for disproportionality analysis in small databases
O Caster, Y Aoki, L Gattepaille, B Grundmark
PHARMACOEPIDEMIOLOGY AND DRUG SAFETY 28, 64-64, 2019
2019
Using the WHO database of spontaneous reports to build joint vector representations of drugs and adverse drug reactions, a promising avenue for pharmacovigilance
LM Gattepaille
2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-6, 2019
2019
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