Using a combination of bulk transcriptome, single-cell, imaging, and deconvolution algorithms, predict the phenotypic endpoint of gastruloids from early stages
-
Updated
Sep 27, 2026 - HTML
Using a combination of bulk transcriptome, single-cell, imaging, and deconvolution algorithms, predict the phenotypic endpoint of gastruloids from early stages
de Jong MA, Adegeest E, Bérenger-Currias NMLP, Mircea M, Merks RMH, et al. (2024) The shapes of elongating gastruloids are consistent with convergent extension driven by a combination of active cell crawling and differential adhesion. PLOS Computational Biology 20(2): e1011825. https://doi.org/10.1371/journal.pcbi.1011825
Here, we publish all scripts to reproduce the analyses in the manuscript Sciphy: A Bayesian phylogenetic framework using sequential genetic lineage tracing data
pipeline for fast semantic segmentation of microscopy images of 3D cell cultures
To associate your repository with the gastruloids topic, visit your repo's landing page and select "manage topics."