Top Tweets for #CellOT
โThe paper is a step forward in terms of understanding the heterogeneous response of different cell states to environmental perturbations.โ
๐ฅ #SIBRemarkableOutputs 2023 ๐
๐ Find out more about this and the other outputs: https://t.co/lzhpZNHeWx
#CellOT #MachineLearning
Super excited that our work #CellOT was selected among SIB's Remarkable Outputs 2023๐: Curious about how we can predict single-cell responses to perturbations? Take a look at our @NatureMethods paper (https://t.co/6uRLQPckiN) and the Research Briefing (https://t.co/K5QwdNUqem)!
Our latest newsletter is out!
Discover SIBโs 2023 Remarkable Outputs highlighting seven outstanding contributions from our members to the #bioinformatics field. Find out how #viruses ๐ฆ can communicate with bacteria and the latest #insilicotalks https://t.co/1tx1Mm9QCq
#CellOT: Neural optimal transport for predicting perturbation response of single cells! Fantastic collaboration with @_bunnech @stefangstark @GabriGut and others from @gxr and @lucaspelkmans groups at @ETH_AI_Center @ETH_en @UZH @USZ
Using #MachineLearning, experts from ETH Zurich, @UZH and @USZ have jointly developed a new approach that can predict how individual #Cells will react to #SpecificTreatments, offering hope for more #AccurateDiagnostics and therapeutics. ๐งซ
Learn more: ๐ https://t.co/KjK5r2lX6o
#CondOT (@neuripsconf 2022) generalizes #CellOT and allows conditioning the inferred responses on a context, e.g., patient meta-information. This is crucial when moving to prediction tasks on patient cohorts ๐ฅ!
https://t.co/x7r8xgAf0k
The first method, #CellOT (@naturemethods) uses optimal transport to accurately predict single-cell responses to various drugs or developmental signals. We learn a neural #Monge map that transforms the unperturbed cell population into its perturbed state.
https://t.co/6uRLQPckiN
Stefan Stark @stefangstark on #CellOT for out of sample tumor profiling & modeling cancer therapy responses #biodata22
๐ https://t.co/Rn1kvGRvSE
๐งฐ https://t.co/FiSISBFYxb
Next up is @stefangstark on modeling #SingleCell responses to perturbations using optimal transport! #biodata22
By enforcing this strong regularization and without the dependency on a meaningful latent space, #CellOT outperforms existing state-of-the-art methods and accurately matches cellular features after perturbation.
Check out our work on predicting #singlecell perturbation responses using neural optimal transport (#CellOT), which we presented at the #OTML Workshop at @NeurIPS 2021.
Paper: https://t.co/j4P3RO1gr7
Last Seen Hashtags on Sotwe
mobilelegendnsfw
Seen from Germany
iswi
Seen from United Kingdom
tefysanchez
ๅ
ฅ้ๆฎฟไธใฎ็ฉ่ช
Seen from Japan
wedgie
Seen from United States
budaksekolah
Seen from Indonesia
sexyguys
Seen from United States
ุชุงูุฌู_ุจุฑุงููุช
Seen from Egypt
cderhijab
Seen from Indonesia
ูพูุดุชู
Seen from Netherlands
Most Popular Users
Elon Musk 
@elonmusk
240.3M followers
Barack Obama
@barackobama
119.2M followers
Donald J. Trump
@realdonaldtrump
111.6M followers
Cristiano Ronaldo
@cristiano
109.7M followers
Narendra Modi
@narendramodi
106.9M followers
Rihanna
@rihanna
97.5M followers
NASA
@nasa
92.1M followers
Justin Bieber
@justinbieber
90.7M followers
KATY PERRY
@katyperry
87.2M followers
Taylor Swift
@taylorswift13
81M followers
Lady Gaga
@ladygaga
72.6M followers
Kim Kardashian
@kimkardashian
69.6M followers
Virat Kohli
@imvkohli
69.2M followers
YouTube
@youtube
68.6M followers
Bill Gates
@billgates
63.6M followers
The Ellen Show
@theellenshow
62.5M followers
CNN
@cnn
61.9M followers
Neymar Jr
@neymarjr
61.9M followers
X
@x
60.9M followers
Selena Gomez
@selenagomez
60.3M followers