PathwayEmbed: a computational tool to quantify intracellular signaling transduction states from transcriptomic data.

Huang Y, Gerecht S, Kyriakides T, Raredon MSB

Open source

DOI
10.1093/bioinformatics/btag346
Published
2026 Jun 1
Container
Bioinformatics (Oxford, England)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1093/bioinformatics/btag346,
  title = {PathwayEmbed: a computational tool to quantify intracellular signaling transduction states from transcriptomic data.},
  author = {Huang Y and Gerecht S and Kyriakides T and Raredon MSB},
  year = {2026},
  journal = {Bioinformatics (Oxford, England)},
  doi = {10.1093/bioinformatics/btag346},
  url = {https://doi.org/10.1093/bioinformatics/btag346}
}

RIS

TY  - JOUR
TI  - PathwayEmbed: a computational tool to quantify intracellular signaling transduction states from transcriptomic data.
AU  - Huang Y
AU  - Gerecht S
AU  - Kyriakides T
AU  - Raredon MSB
PY  - 2026
JO  - Bioinformatics (Oxford, England)
DO  - 10.1093/bioinformatics/btag346
UR  - https://doi.org/10.1093/bioinformatics/btag346
ER  - 

APA

Y, H., S, G., T, K., & MSB, R. (2026). PathwayEmbed: a computational tool to quantify intracellular signaling transduction states from transcriptomic data.. Bioinformatics (Oxford, England). https://doi.org/10.1093/bioinformatics/btag346

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