Cecile Laurent @ceclaurent

Research Engineer in Bioinformatics #dataviz #R #rstats #translationalResearch #cancerology Joined May 2010

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Inst. Carnot CALYM @CarnotCALYM

5 years ago

[PARTNERSHIP] 🆕@AstraZenecaFR @CarnotCALYM and @InsermTransfert sign an agreement to accelerate research and bring innovative therapeutic solutions to lymphoma patients @Inserm #Oncofactory @Reseau_Carnot #carnot @CurieCancer #innovation #microenvironment lymphoma-research-experts.org/news/a-new-fra…

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Cecile Laurent @ceclaurent

5 years ago

Merci pour cette conférence. youtu.be/2byu0bYPj0c

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This is the best review I ve read so far in the field of AI applied to cancer pathology. If you have few minutes, you should read it at rdcu.be/b7LqP . As always with @NatRevClinOncol , the figures are outstanding

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Keith McNulty @dr_keithmcnulty

5 years ago

Awesome {reactable} tutorial by two members of my team using an example COVID-19 dataset. This is a great package for flexibly displaying tabular data in reports, with lots of cool widgets. #rstats #r4ds #datascience #analytics vchoudhury.shinyapps.io/reactable_tuto…

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D.H Mekni @dorianhmekni

5 years ago

Explore a large collection of R tutorials: dy.si/1972i by @sharon000 @Rbloggers —————— #DataViz #Rstats #Coding #DataScientists #DataScience #BigData #AI #MachineLearning #DataWrangling #GIS #SpatialAnalytics #Analytics #DataPrep

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Thomas Lin Pedersen @thomasp85

5 years ago

If you want to get up to speed with #ggplot2 and its extended universe of packages I've released free recordings of my "Plotting Anything with ggplot2" workshop. Have fun! #rstats youtu.be/h29g21z0a68 youtu.be/0m4yywqNPVY ~4.5h of video so find a comfy chair🙂

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Cecile Laurent @ceclaurent

5 years ago

Pretty proud of my collaboration for this paper in Leukemia. Thanks #R. #lymphoma nature.com/articles/s4137…

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Jose Manuel Vera @verajosemanuel

5 years ago

ganttrify: Create beautiful Gantt charts with ggplot2 github.com/giocomai/gantt… #rstats #shiny

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Cecile Laurent @ceclaurent

5 years ago

Thanks a lot @KriMinalMind81 @nstamboglis for this very clear and informative workshop on parameterized Rmarkdown reports! #eRum2020 github.com/muschitiello/e…

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Cecile Laurent @ceclaurent

5 years ago

New features of {dplyr} by @romain_francois @erum2020_conf. My code will have a lot of: summarise(.groups = "drop") - Love it! #erum2020

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Trang Le @trangdata

5 years ago

🎉🎉🎉 #rstats 📦 {treeheatr} has landed on CRAN. 🚀 I have learned so much throughout this process and am excited to learn more! trang1618.github.io/treeheatr/ HT @moorejh #dataviz #machinelearning #visualization #heatmap #decisiontrees #treeheatr

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Cecile Laurent @ceclaurent

5 years ago

Need some very very cool tips and links for R? Thanks to @sharon000 @erum2020_conf here it is: machlis.com/eRum2020 #dataviz #eRum2020

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Cecile Laurent @ceclaurent

5 years ago

Amazing work presented by @FedeBioinfo @erum2020_conf That's good I have a new RNAseq project coming! I will test GeneTonic package. bit.ly/genetonic-erum #RNAseq #eRum2020

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Cecile Laurent @ceclaurent

5 years ago

Very nice talk by @stephaniehicks @erum2020_conf. Don’t forget that Seurat is not alone for single cell analysis, think also @Bioconductor ressources. osca.bioconductor.org #eRum2020

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Cecile Laurent @ceclaurent

5 years ago

Deliver early! AGILE methode. Need to read edwinth.github.io/ADSwR/ @edwin_thoen #eRum2020

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Cecile Laurent @ceclaurent

5 years ago

COVID19 Data Hub - From #eRum2020 by Emanuele Guidotti. covid19datahub.io/index.html. Bravo !

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Cecile Laurent @ceclaurent

6 years ago

Dataset Search - Discovering millions of datasets on the web. #datascience #data blog.google/products/searc…

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Inst. Carnot CALYM @CarnotCALYM

6 years ago

[ARTICLE] @BloodJournal « Genomic landscape of #BIALCL highlights activation of JAK/STAT pathway and loss of function in epigenetics modifiers. » #BIALCL by @LysaLymphoma & @CarnotCALYM members 👏 ashpublications.org/blood/article-…

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Inst. Carnot CALYM @CarnotCALYM

6 years ago

Aujourd'hui nous avons remis les bourses CALYM- @JanssenFRA à Mickaël Roussel pour l'analyse par Hyperion de l'environnement DLBCL et Salim Kanoun pour le calcul automatisé du TMTV en deep learning 👏 bravo à eux !