🛠️ The CellsFromSpace R package is now available on GitHub. Dive into the tutorials and documentation to get started with your spatial transcriptomics analysis today! #OpenSource#Bioinformatics#RStats https://t.co/X2v6KVMFK6
Exciting news in spatial transcriptomics! 📊🧬 Check out "CellsFromSpace: Independent Component Analysis Framework for Spatial Transcriptomics" for a novel way to analyze spatial data and identify cell types. 🔍✨ #Bioinformatics#SpatialTranscriptomics#Genomics https://t.co/uCZaA0Yurl @Tebalde0@GaelMoquin@KarkarSlim
@J4CKFR0HST@samuelabbou @GroupeUnicancer @laliguecancer@GustaveRoussy Join us in the FOSTER consortium @FosterConsorti1 (https://t.co/X0vZ5ODFDW) to fast-track osteosarcoma research! We have open post-doc positions (https://t.co/ut06fnpwk1). DM for details.
To support our cause, consider donating here: https://t.co/yr8v44pVKz
Excited to share our latest work on improving osteosarcoma patient care! Our study explores how ctDNA quantification via a simple blood test could revolutionize prognostic factors. Check out the findings from the OS2006 trial here: https://t.co/a7f7lWMeRf
Kudos to Baptiste Audinot @J4CKFR0HST , Dr. Damien Drubay, and Dr. Samuel Abbou @samuelabbou (PI of the study) for their invaluable contributions. Big thanks to @GroupeUnicancer , @laliguecancer , and La fondation @GustaveRoussy for their support.
.@GustaveRoussy retreat about Research in Childhood cancers to prepare the future: which fingerprint for our research ? which priorities for basic science ? Which depth of data for epidemiology studies ? Which strategy for clin research ? How to translate discoveries to pts ?
Great to see this essential work from Marco (Grill and Castel team, @GustaveRoussy) out in @JNeurooncol
https://t.co/ccHherr1ij
For french speaker:
Mécanismes responsables de l'invasion de... https://t.co/gXFL2YlbJA via @scoopit
@MaartenvSmeden Questions or hypotheses ? Multivariate analyses stresses your hypotheses, according to the present knowledge ? Should we go for something else ?
@markowetzlab Great question ! Why ? What are we looking at when analysing past events ?Dynamic system in different organs behave differently ? Are we under looking at the extrinseque or the intrinseque plasticity ?
Open minds and increases of the size of cohorts are the keys.
I completely agree - exactly what I see in cancer. So much work on phylogenies, clonal expansions, subclonal drivers - all great science. And useless when treating patients.
CellsFromSpace: A versatile tool for spatial transcriptomic data analysis with reference-free deconvolution and guided cell type/activity annotation https://t.co/IDMsWnpqWr #bioRxiv
🛸🌍Invasion Update: Introducing CellsFromSpace post #ISMB2023!
CFS is a user-friendly framework for spatial transcriptomics on any tech platform
Shiny app for non-bioinformaticians
No need for single cell atlases
@GustaveRoussy@10xGenomics @nanostringtech @vizgen_inc
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CellsFromSpace: A versatile tool for spatial transcriptomic data analysis with reference-free deconvolution and guided cell ... https://t.co/kecDtSIz4q #biorxiv_bioinfo
Stay tuned for updates! We're working on improving the shiny app and diving into cell neighborhoods, trajectories, and time series. https://t.co/F1OoykHteE