Gene-specific machine learning model EpiPred identifies likely pathogenic variants in the epilepsy-related gene STXBP1.

Calhoun JD, Wang C, Biar CG, Gunti JR, Lee JS, Geller AM, Hong JH, Schnell S, Dang LT, Wang Y, Parent JM, Isom LL, Uhler MD, Mefford HC, Ross ME, Aguiar-Pulido V, Carvill GL

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DOI
10.1172/jci207160
Published
2026 Sep 17
Container
The Journal of clinical investigation
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1172/jci207160,
  title = {Gene-specific machine learning model EpiPred identifies likely pathogenic variants in the epilepsy-related gene STXBP1.},
  author = {Calhoun JD and Wang C and Biar CG and Gunti JR and Lee JS and Geller AM and Hong JH and Schnell S and Dang LT and Wang Y and Parent JM and Isom LL and Uhler MD and Mefford HC and Ross ME and Aguiar-Pulido V and Carvill GL},
  year = {2026},
  journal = {The Journal of clinical investigation},
  doi = {10.1172/jci207160},
  url = {https://doi.org/10.1172/jci207160}
}

RIS

TY  - JOUR
TI  - Gene-specific machine learning model EpiPred identifies likely pathogenic variants in the epilepsy-related gene STXBP1.
AU  - Calhoun JD
AU  - Wang C
AU  - Biar CG
AU  - Gunti JR
AU  - Lee JS
AU  - Geller AM
AU  - Hong JH
AU  - Schnell S
AU  - Dang LT
AU  - Wang Y
AU  - Parent JM
AU  - Isom LL
AU  - Uhler MD
AU  - Mefford HC
AU  - Ross ME
AU  - Aguiar-Pulido V
AU  - Carvill GL
PY  - 2026
JO  - The Journal of clinical investigation
DO  - 10.1172/jci207160
UR  - https://doi.org/10.1172/jci207160
ER  - 

APA

JD, C., C, W., CG, B., JR, G., JS, L., AM, G., JH, H., S, S., LT, D., Y, W., JM, P., LL, I., MD, U., HC, M., ME, R., V, A., & GL, C. (2026). Gene-specific machine learning model EpiPred identifies likely pathogenic variants in the epilepsy-related gene STXBP1.. The Journal of clinical investigation. https://doi.org/10.1172/jci207160

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