@__exa__ @abhivkoladiya Thanks. Is this https://t.co/ktoa8u4Dbs a follow-up work? It says that it "introduces" EmbedSOM but it looks like a different paper from the one published in F1000... This got me a bit confused. I'd like to read up on SOM/EmbedSOM
@hippopedoid First try (I probably messed up the parameters) but it alreadly looks better than UMAP and was in fact 2x faster. Thanks for pointing this out! (Dataset: samusik_all, colors as in https://t.co/ogRrOv9qdh ) https://t.co/74YZ9d6Af4
RT @nnimaa: Always glad to see others independently using our datasets 🙂 https://t.co/6gtmCILxiO https://t.co/yXAHGjtYju
Always glad to see others independently using our datasets 🙂 https://t.co/6gtmCILxiO
Find updated version of our recent article on flow cytometry data embedding algorithm on BioRxiv!
RT @Drbal_Lab: The second version of #EmbedSOM preprint is out: https://t.co/mCMUdSwFLQ - a collab w/@__exa__: 3D embedding (zdim) and a co…
RT @Drbal_Lab: The second version of #EmbedSOM preprint is out: https://t.co/mCMUdSwFLQ - a collab w/@__exa__: 3D embedding (zdim) and a co…
RT @abhivkoladiya: Here is the 2nd version of #EmbedSOM preprint:https://t.co/u2u2lfs2El This time with new parameters: importance, adjust,…
RT @abhivkoladiya: Here is the 2nd version of #EmbedSOM preprint:https://t.co/u2u2lfs2El This time with new parameters: importance, adjust,…
RT @__exa__: Updated #EmbedSOM article is out on bioRxiv! https://t.co/w8j0LMSUnW Now with bigger datasets, better embedding shape, 3D, et…
The second version of #EmbedSOM preprint is out: https://t.co/mCMUdSwFLQ - a collab w/@__exa__: 3D embedding (zdim) and a couple of new features, e.g. grid layouting (emcoords='flat'), etc. for Levine_13 dataset. https://t.co/l4Opg8XxEW
RT @__exa__: Updated #EmbedSOM article is out on bioRxiv! https://t.co/w8j0LMSUnW Now with bigger datasets, better embedding shape, 3D, et…
RT @__exa__: Updated #EmbedSOM article is out on bioRxiv! https://t.co/w8j0LMSUnW Now with bigger datasets, better embedding shape, 3D, et…
RT @__exa__: Updated #EmbedSOM article is out on bioRxiv! https://t.co/w8j0LMSUnW Now with bigger datasets, better embedding shape, 3D, et…
RT @__exa__: Updated #EmbedSOM article is out on bioRxiv! https://t.co/w8j0LMSUnW Now with bigger datasets, better embedding shape, 3D, et…
RT @__exa__: Updated #EmbedSOM article is out on bioRxiv! https://t.co/w8j0LMSUnW Now with bigger datasets, better embedding shape, 3D, et…
Updated #EmbedSOM article is out on bioRxiv! https://t.co/w8j0LMSUnW Now with bigger datasets, better embedding shape, 3D, etc. https://t.co/ihTNTKtRkX
RT @__exa__: @JoeYeong well kindof, I wrote it this summer :D There's a beta-version paper on bioRxiv here https://t.co/zgqJyf5XHI if you…
@JoeYeong well kindof, I wrote it this summer :D There's a beta-version paper on bioRxiv here https://t.co/zgqJyf5XHI if you want some details (hopefully we're publishing a better version later this month).
RT @abhivkoladiya: Thanks to @SofieVanGassen from @saeyslab for introducing #EmbedSOM - a non linear embedding algo. by @__exa__ and @Drba…
RT @abhivkoladiya: Thanks to @SofieVanGassen from @saeyslab for introducing #EmbedSOM - a non linear embedding algo. by @__exa__ and @Drba…
RT @abhivkoladiya: Thanks to @SofieVanGassen from @saeyslab for introducing #EmbedSOM - a non linear embedding algo. by @__exa__ and @Drba…
RT @Drbal_Lab: #SingleCell high-dimensional #Datavisualization is a breeze with #EmbedSOM-a #FlowSOM-trained embedding: faster than #tSNE o…
@KapellosTS @grip54 @abhivkoladiya @scoopit ...but the actual method of squashing of the multidimensional space to 2D is different in both algorithms. Some details are available in the preprint (sections 2.2, 2.3 and 4.2.1) https://t.co/OA7fzovpzs
RT @ManchesterCytof: Rapid single-cell cytometry data visualization with EmbedSOM | bioRxiv #cytofpub #DataScience #Datavisualization http…
Rapid single-cell cytometry data visualization with EmbedSOM | bioRxiv #cytofpub #DataScience #Datavisualization https://t.co/HistJXp9Wq
RT @Drbal_Lab: #SingleCell high-dimensional #Datavisualization is a breeze with #EmbedSOM-a #FlowSOM-trained embedding: faster than #tSNE o…
EmbedSOM : a new non-linear algorithm for visualization of single-cell distribution | #FlowSOM #EmbedSOM #CyTOF #tSNE #UMAP | Karel Drbal @Drbal_Lab @abhivkoladiya @CharlesUniPRG @IOCBPrague | Preprint @biorxivpreprint https://t.co/Hf6UubmHut R package :
#BioIT #BioInformatics Rapid single-cell cytometry data visualization with EmbedSOM [NEW RESULTS] https://t.co/SIfGYGZ9mb
#SingleCell high-dimensional #Datavisualization is a breeze with #EmbedSOM-a #FlowSOM-trained embedding: faster than #tSNE or #UMAP, check the video: https://t.co/QJEbmz83iF. The collaboration btwn @__exa__, @CharlesUniPRG, @IOCBPrague nd @CZphenogenomics.
Efficient unbiased data analysis is a major challenge for laboratories handling large cytometry datasets. https://t.co/N4bmU0HrTd
We present EmbedSOM, a non-linear embedding algorithm based on FlowSOM that improves the analyses by providing high-performance visualization of complex single cell distributions within cellular populations and their transition states. https://t.co/pezyq17
@CZphenogenomics @Drbal_Lab (EmbedSOM is now on BioRxiv)
#bioRxiv Rapid single-cell cytometry data visualization with EmbedSOM #bioinfo https://t.co/EJ943UGFvE
Rapid single-cell cytometry data visualization with EmbedSOM https://t.co/fx38UjLIzh #biorxiv_bioinfo
Rapid single-cell cytometry data visualization with EmbedSOM https://t.co/2S79qbhkvv #bioRxiv