Daniel Dimitrov
@dbdimitrov.bsky.social
Postdoc @steglelab.bsky.social; Interested in #ML for #Spatial #Omics
Reposted by Daniel Dimitrov
🧠 Excited to share my main PhD project! We mapped the regulatory rules governing Glioblastoma plasticity using single-cell multi-omics and deep learning. This work is part of a two-paper series with @bayraktarlab.bsky.social @oliverstegle.bsky.social and @moritzmall.bsky.social, Preprint at end🧵👇
May 16, 2025 at 10:05 AM
🧠 Excited to share my main PhD project! We mapped the regulatory rules governing Glioblastoma plasticity using single-cell multi-omics and deep learning. This work is part of a two-paper series with @bayraktarlab.bsky.social @oliverstegle.bsky.social and @moritzmall.bsky.social, Preprint at end🧵👇
Reposted by Daniel Dimitrov
1/ New preprint! 🍳
@elihei.bsky.social and our team at @embl.org , @dkfz.bsky.social, and @mskcancercenter.bsky.social built #segger - a fast, accurate cell segmentation tool for spatial transcriptomics that assigns transcripts to their cell origins!
doi.org/10.1101/2025...
@elihei.bsky.social and our team at @embl.org , @dkfz.bsky.social, and @mskcancercenter.bsky.social built #segger - a fast, accurate cell segmentation tool for spatial transcriptomics that assigns transcripts to their cell origins!
doi.org/10.1101/2025...
March 18, 2025 at 2:48 PM
1/ New preprint! 🍳
@elihei.bsky.social and our team at @embl.org , @dkfz.bsky.social, and @mskcancercenter.bsky.social built #segger - a fast, accurate cell segmentation tool for spatial transcriptomics that assigns transcripts to their cell origins!
doi.org/10.1101/2025...
@elihei.bsky.social and our team at @embl.org , @dkfz.bsky.social, and @mskcancercenter.bsky.social built #segger - a fast, accurate cell segmentation tool for spatial transcriptomics that assigns transcripts to their cell origins!
doi.org/10.1101/2025...
Reposted by Daniel Dimitrov
Want to map the origins and trajectories of cells in development and disease? Cell2Fate is here to help you! 🚀
🔗 Learn more: doi.org/10.1038/s415...
🖥️ Try it on your own datasets: github.com/BayraktarLab/cell2fate
🔗 Learn more: doi.org/10.1038/s415...
🖥️ Try it on your own datasets: github.com/BayraktarLab/cell2fate
Cell2fate infers RNA velocity modules to improve cell fate prediction - Nature Methods
Cell2fate improves RNA velocity analysis of single-cell and spatial transcriptomics data by module decomposition of realistic biophysical models of transcription dynamics.
doi.org
March 6, 2025 at 9:21 AM
Want to map the origins and trajectories of cells in development and disease? Cell2Fate is here to help you! 🚀
🔗 Learn more: doi.org/10.1038/s415...
🖥️ Try it on your own datasets: github.com/BayraktarLab/cell2fate
🔗 Learn more: doi.org/10.1038/s415...
🖥️ Try it on your own datasets: github.com/BayraktarLab/cell2fate