Predicting circRNA-Drug Sensitivity Using Integrated Hybrid Graph and Molecular Features.

Wang Y, Shen W, Li J, Hu J, Peng J, You Z, Shang X

Open source

DOI
10.1007/s12539-026-00870-3
Published
2026 Aug 26
Container
Interdisciplinary sciences, computational life sciences
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1007/s12539-026-00870-3,
  title = {Predicting circRNA-Drug Sensitivity Using Integrated Hybrid Graph and Molecular Features.},
  author = {Wang Y and Shen W and Li J and Hu J and Peng J and You Z and Shang X},
  year = {2026},
  journal = {Interdisciplinary sciences, computational life sciences},
  doi = {10.1007/s12539-026-00870-3},
  url = {https://doi.org/10.1007/s12539-026-00870-3}
}

RIS

TY  - JOUR
TI  - Predicting circRNA-Drug Sensitivity Using Integrated Hybrid Graph and Molecular Features.
AU  - Wang Y
AU  - Shen W
AU  - Li J
AU  - Hu J
AU  - Peng J
AU  - You Z
AU  - Shang X
PY  - 2026
JO  - Interdisciplinary sciences, computational life sciences
DO  - 10.1007/s12539-026-00870-3
UR  - https://doi.org/10.1007/s12539-026-00870-3
ER  - 

APA

Y, W., W, S., J, L., J, H., J, P., Z, Y., & X, S. (2026). Predicting circRNA-Drug Sensitivity Using Integrated Hybrid Graph and Molecular Features.. Interdisciplinary sciences, computational life sciences. https://doi.org/10.1007/s12539-026-00870-3

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