📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Virtual perturbations to assess explainability of deep-learning based cell fate predictors (2023)

First Author: Soelistyo C

Attributed to: Reverse engineering cell competition using automated microscopy and recurrent neural networks funded by BBSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1101/2023.07.17.548859

Publication URI: http://dx.doi.org/10.1101/2023.07.17.548859

Type: Preprint