Cecile Laurent

Research Engineer in Bioinformatics #dataviz #R #rstats #translationalResearch #cancerology

[Inst. Carnot CALYM @CarnotCALYM]

[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 https://t.co/uHT7IsCZ10

[Cecile Laurent @ceclaurent]

Merci pour cette conférence. https://t.co/DV2cu0Szr4

[FabriceAndre @FAndreMD]

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 https://t.co/HVfiTREfhw . As always with @NatRevClinOncol , the figures are outstanding

[Keith McNulty @dr_keithmcnulty]

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 https://t.co/IYznUrqpnL

[D.H Mekni @dorianhmekni]

Explore a large collection of R tutorials: https://t.co/vOWgASGZOp by
@sharon000
@Rbloggers
——————
#DataViz #Rstats #Coding #DataScientists #DataScience #BigData #AI #MachineLearning #DataWrangling #GIS #SpatialAnalytics #Analytics #DataPrep

[Thomas Lin Pedersen @thomasp85]

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

https://t.co/LxwwSsESQM

https://t.co/uZda0KRAgp

~4.5h of video so find a comfy chair🙂

[Cecile Laurent @ceclaurent]

Pretty proud of my collaboration for this paper in Leukemia. Thanks #R. #lymphoma
https://t.co/PlUflpWbfC

[Jose Manuel Vera @verajosemanuel]

ganttrify: Create beautiful Gantt charts with ggplot2 https://t.co/TGiwQXyNvT #rstats #shiny

[Cecile Laurent @ceclaurent]

Thanks a lot @KriMinalMind81 @nstamboglis for this very clear and informative workshop on parameterized Rmarkdown reports! #eRum2020 https://t.co/rpFMEMhD9l

[Cecile Laurent @ceclaurent]

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

[Trang Le @trangdata]

🎉🎉🎉 #rstats 📦 {treeheatr} has landed on CRAN. 🚀

I have learned so much throughout this process and am excited to learn more!

https://t.co/AkVtUpaxYX

HT @moorejh

#dataviz #machinelearning #visualization #heatmap #decisiontrees #treeheatr

[Cecile Laurent @ceclaurent]

Need some very very cool tips and links for R? Thanks to @sharon000 @erum2020_conf here it is: https://t.co/Ggbxw7XTd2 #dataviz #eRum2020

[Cecile Laurent @ceclaurent]

@erum2020_conf @Tatjana_Kec introduces R toolbox for data analysis in journalism. Beautiful ressource to enter in #DataScience with #R. https://t.co/wsFPHtMZWZ

[Cecile Laurent @ceclaurent]

Amazing work presented by @FedeBioinfo @erum2020_conf
That's good I have a new RNAseq project coming! I will test GeneTonic package. https://t.co/ZFiEScAhMe
#RNAseq #eRum2020

[Cecile Laurent @ceclaurent]

Very nice talk by @stephaniehicks @erum2020_conf. Don’t forget that Seurat is not alone for single cell analysis, think also @Bioconductor ressources. https://t.co/i341OfJXga #eRum2020

[Cecile Laurent @ceclaurent]

Deliver early! AGILE methode. Need to read https://t.co/8wjj9AmA6I @edwin_thoen #eRum2020

[Cecile Laurent @ceclaurent]

COVID19 Data Hub - From #eRum2020 by Emanuele Guidotti. https://t.co/x5DSwQVLpB. Bravo !

[Cecile Laurent @ceclaurent]

Dataset Search - Discovering millions of datasets on the web.
#datascience #data
https://t.co/sZektybaLF

[Inst. Carnot CALYM @CarnotCALYM]

[ARTICLE] @BloodJournal « Genomic landscape of #BIALCL highlights activation of JAK/STAT pathway and loss of function in epigenetics modifiers. » #BIALCL by @LysaLymphoma & @CarnotCALYM members 👏 https://t.co/vBjqBvtQth

[Inst. Carnot CALYM @CarnotCALYM]

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 !