Appears in Networks 1

Provenance

PubMed:29196815

Furthermore, the authors demonstrated significant, negative correlation of AβO number with the MMSE scores, what indicates that sFIDA readout seems to reflect the severity of AD, similar to the results described above.

Related Edges 1

Annotations 4

MeSH
Extracellular Space
Cell Ontology (CL)
neuron
Confidence
High
MeSH
Hippocampus

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.