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- The Franklin platform has an advanced artificial intelligence-driven engine designed to prioritize and interpret variant data. This powerful engine extracts a range of features from diverse sources of evidence and identifies the most probable causal pathogenic variants to add them to the Workbench for the user's review.
help.genoox.com/en/articles/4444301-franklin-s-ai-based-variant-prioritization-engine
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How does Franklin's AI-based variant classification engine work?
What is Franklin's AI-based CNV classification algorithm?
What is the best tool for variant interpretation?
What is Franklin's AI-driven algorithm?
Franklin's AI-based classification engine adheres to ACMG/AMP standards and guidelines. Additionally, it integrates supplementary knowledge from databases and literature to expedite gene-specific variant classification.
- Franklin's Advanced Filtering System
Franklin's Classification - This feature filters variants...
- Franklin's Advanced Filtering System
Franklin - The Future of Variant Interpretation. The most advanced way for variant classification, a FREE comprehensive interpretation tool by Genoox. Try it - search any variant.
An advanced artificial intelligence (AI)-based Variant Classification Engine (aiVCE), rooted in ACMG/AMP guidelines, employs data-driven methods to expedite gene-specific classification (franklin.genoox.com).
- Yaron Einhorn, Moshe Einhorn, Adaia Kamshov, Oron Lev, Amir Trabelsi, Nurit Paz-Yaacov, Susan J Gros...
- 2019
Franklin's AI-based algorithm provides an automated CNV classification based on the latest ACMG/ClinGen guidelines, leveraging evidence from a wide array of publicly available data sources and dedicated resources for structural variants curated by our team of cytogenetic specialists.
Jul 23, 2019 · An advanced artificial intelligence (AI)-based Variant Classification Engine (aiVCE), rooted in ACMG/AMP guidelines, employs data-driven methods to expedite gene-specific classification...
Jan 2, 2024 · The Franklin© AI acts as a variant interpretation engine utilizing the ACMG/AMP variant interpretation guidelines (Richards et al., 2015). Franklin© can also utilize phenotypic and familial segregation data to interpret variants, though these functions were not utilized in our study as these data were not available in our database.
Franklin's Classification - This feature filters variants according to Franklin's automated classification. Note that the VUS classification is divided into three classes: VUS Leaning Benign, VUS, and VUS Leaning Pathogenic.
