Machine learning unveils RNA polymerase II binding as a predictor for SMAD2‐dependent transcription dynamics in response to Actvin signalling
Abstract The transforming growth factor‐β (TGF‐β) superfamily, including Nodal and Activin, plays a critical role in various cellular processes. Understanding the intricate regulation and gene expression dynamics of TGF‐β signalling is of interest due to its diverse biological roles. A machine learn...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-02-01
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| Series: | IET Systems Biology |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/syb2.12085 |