Integration of Machine Learning-Based Pathogenicity Prediction and Phenotype Matching Improves Variant Prioritization in Rare Clinical Testing.

Ruzicka J, Ravel JM, Audoux J, Boulat A, Thévenon J, Yauy K, Dancer M, Raymond L, Lombardi Y, Philippe N, Blum MG, Duforet-Frebourg N, Mesnard L

Open source

DOI
10.3390/cimb48070706
Published
2026 Jul 11
Container
Current issues in molecular biology
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/cimb48070706,
  title = {Integration of Machine Learning-Based Pathogenicity Prediction and Phenotype Matching Improves Variant Prioritization in Rare Clinical Testing.},
  author = {Ruzicka J and Ravel JM and Audoux J and Boulat A and Thévenon J and Yauy K and Dancer M and Raymond L and Lombardi Y and Philippe N and Blum MG and Duforet-Frebourg N and Mesnard L},
  year = {2026},
  journal = {Current issues in molecular biology},
  doi = {10.3390/cimb48070706},
  url = {https://doi.org/10.3390/cimb48070706}
}

RIS

TY  - JOUR
TI  - Integration of Machine Learning-Based Pathogenicity Prediction and Phenotype Matching Improves Variant Prioritization in Rare Clinical Testing.
AU  - Ruzicka J
AU  - Ravel JM
AU  - Audoux J
AU  - Boulat A
AU  - Thévenon J
AU  - Yauy K
AU  - Dancer M
AU  - Raymond L
AU  - Lombardi Y
AU  - Philippe N
AU  - Blum MG
AU  - Duforet-Frebourg N
AU  - Mesnard L
PY  - 2026
JO  - Current issues in molecular biology
DO  - 10.3390/cimb48070706
UR  - https://doi.org/10.3390/cimb48070706
ER  - 

APA

J, R., JM, R., J, A., A, B., J, T., K, Y., M, D., L, R., Y, L., N, P., MG, B., N, D., & L, M. (2026). Integration of Machine Learning-Based Pathogenicity Prediction and Phenotype Matching Improves Variant Prioritization in Rare Clinical Testing.. Current issues in molecular biology. https://doi.org/10.3390/cimb48070706

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