Top Tweets for #RNAVelocity
Brian Clearly’s work on « Fundamental errors in #RNAvelocity arising from the omission of cell growth » feels like a must read!!
Brian shouted out the co-authors in the second slide 👏🏽
#BoG2026 @cshlmeetings
https://t.co/1yFnxfMjta
Thank you Dr. Cheng for sharing our work! SDEvelo introduces a new perspective on RNA velocity by incorporating stochastic dynamics and cell-specific temporal information. #RNAvelocity #BiotechNatureComms
.@smooth_liao @gordonliu810822 present SDEvelo, a stochastic multivariate method for transcriptional dynamics inference with cell-specific latent time #RNAvelocity #BiotechNatureComms
https://t.co/OMZRK6Ss1s
1/8 Excited to share our preprint on RNA velocity! 🚀🧬 In this study, we compare 5 RNA velocity methods across 3 datasets. Check out our findings! #scRNAseq #RNAvelocity 📄 https://t.co/ITlLIqlqCJ
DeepVelo
Continuity assumption
Compute kinetic rates for each cell in single-cell RNAseq data
Power up #RNAVelocity✊
#GraphConvolutionNetwork
Outperform scVelo (+very different trajectories in some cases Fig 2/4/6)
@BoWang87 @GenomeBiology 2024
https://t.co/djKit5hfe8
Since the original #RNAvelocity paper, I've been pleased to see its wide adaptation and am inspired by contributions made by many computational experts. However, I've also been receptive to reasonable criticisms presented (👍@lpachter
@GorinGennady @fabian_theis). 2/10
More super analysis from @AndreaSottoriva and team using #RNAvelocity - a clever way to tease temporal data out of fixed point analysis in #singlecell #RNAseq data.
It looks at pre-spliced to spliced ratios of transcripts to infer direction and speed of change. #NeuroVelo
How to you measure temporal cellular dynamics from #singlecell #RNA-seq in an interpretable way? Neural Ordinary Differential Equations marry dynamical systems maths with #MachineLearning. Our new method "neuroVelo" extracts biology from #scRNA data: https://t.co/lLf30msKlo
🎉 Groundbreaking paper out in Cell Metabolism! Our work on live human pancreatic slices reveals a new endocrine cell development pathway. 🧪✨ Kudos to #DiabetesResearch #RegenerativeMedicine #BMPRagonists #SinglecellRNAseq #RNAvelocity #seurat #scvelo
Model-based inference of RNA velocity modules improves cell fate prediction
#RNAvelocity #CellTrajectories #Benchmarking #cell2fate
https://t.co/iEiQjtmh1G
🚀 Excited to announce Dynamo v1.3 for advanced modeling of scRNA-seq and vector field learning & prediction! A big step towards our v2.0.0 goal by the end of 23'. Get it now on PyPi (https://t.co/rrLa24RsBH)! #RNAVelocity. See fully refactored preprocessing module, more below
Excited our work is out at Nat Biotechnol! Check out cellDancer - which enables RNA velocity estimation with cell-specific kinetics. Thanks to @robinustc, @wchen4005, Dr. Ye, @bRaNnAn_LAB, Dr. Le, Dr. Abe, @rnacorejpc, and Dr. Wang. #RNAvelocity #scRNAseq
https://t.co/O1DqSIS5Es
@fabian_theis @LukasHeumos @AnnaCSchaar Thanks for sharing @fabian_theis. Really look forward to the #RNAVelocity section once it is populated.
Scary RNAvelocity in the Filbin lab! Happy Halloween to everyone! 🎃👻💀
Laleh Haghverdi @LH33837868 @BIMSB_MDC talking at #SCGmeetsML on a unified picture of diffusions, RNA velocity and optimal transport to quantify cell dynamics, see also https://t.co/ZFPTSsGX3G
scVelo is now available in GenePattern! RNA velocity analysis of single-cell transcriptomics with scVelo from the Theis Lab @fabian_theis. https://t.co/Z0Ia2vbK5o. https://t.co/iorBw9malT #Bioinformatics #nciitcr #RNAvelocity
Recruiting Python Programmers to Develop Predictive Single Cell Spatiotemporal Analysis Toolkit with @Xiaojie_Qiu
Whitehead Institute, Cambridge, USA
https://t.co/v0V6Mi7piG
#ScienceJobs #RNAvelocity #singlecell #python #programmer
Recruiting Python Programmers to Develop Predictive Single Cell Spatiotemporal Analysis Toolkit with @Xiaojie_Qiu
Whitehead Institute, Cambridge, USA
https://t.co/v0V6Mi6Rt8
#ScienceJobs #RNAvelocity #singlecell #python #programmer
Very exciting work from @lucapinello lab, led and presented by @QianAlvinQin1 on extending #RNAvelocity with https://t.co/pIcyDzzex0 a probabilistic programming language at #ISMB2022. Great team effort including Eli Bingham @GioeleLaManno and @LangenauLab.
We are having a great time at #ISMB2022! Please come in person or virtually to hear @QianAlvinQin1's talk on extending #RNAvelocity with Probabilistic Programming to enable robust estimates and prediction uncertainty! (SYSMOD 4:20CT)
The @lucapinello lab had a great time holding our #ISMB2022 tutorial yesterday! Thank you to the conference organizers and the tutorial attendees!
Very excited to be part of of the first @cziscience Data Insight Program and working on extending #RNAvelocity with a fantastic team: @GioeleLaManno, Eli Bingham (core developer of https://t.co/uODjhIIn4L) and @QianAlvinQin1. We are hiring, please PM us if you want to join us!
📢 Excited to announce 20 new @ChanZuckerberg Data Insights projects that will gain insights into health + disease from existing #SingleCell datasets to help accelerate progress toward challenges associated with large atlas-scale data https://t.co/MSy5B2prYo
I am super excited that our project was awarded the new #CZI Data Insights grant. I am looking forward to work with @lucapinello and Eli Bingham towards an inference framework for #RNAvelocity. We are hiring a #postdoc to join the team, PM me. @EPFL_en
https://t.co/YbiRRXh7Hf
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