Appears in Networks 1

Provenance

PubMed:27574109

The hT24 aggregates showed the highest TOC1 signal, which reached significance compared to hT40, hT39, hT37 and hT23 aggregates, while hT34 aggregates were significantly different from hT39, hT37 and hT23 aggregates, and both hT40 and hT39 aggregates are significantly higher than hT37 and hT23 (one-way ANOVA with Holm-Sidak post-hoc, F(5, 18) = 50.77, p < 0.0001)

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About

BEL Commons is developed and maintained in an academic capacity by Charles Tapley Hoyt and Daniel Domingo-Fernández at the Fraunhofer SCAI Department of Bioinformatics with support from the IMI project, AETIONOMY. It is built on top of PyBEL, an open source project. Please feel free to contact us here to give us feedback or report any issues. Also, see our Publishing Notes and Data Protection information.

If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.