AI Article Synopsis
- The Manatee variational autoencoder model is designed to predict how changes in transcription factors affect gene expression (transcriptomes).
- It effectively simulates various cellular transitions, accurately reflecting the corresponding changes in gene expression profiles.
- Additionally, Manatee can be used to prioritize combination of transcription factors to achieve specific gene expression outcomes in experimental settings.
Article Abstract
We present the Manatee variational autoencoder model to predict transcription factor (TF) perturbation-induced transcriptomes. We demonstrate that the Manatee in silico perturbation analysis recapitulates target transcriptomic phenotypes in diverse cellular lineage transitions. We further propose the Manatee in silico screening analysis for prioritizing TF combinations targeting desired transcriptomic phenotypes.
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Source |
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11116378 | PMC |
| http://dx.doi.org/10.1038/s41598-024-62620-z | DOI Listing |
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