Invention Grant
- Patent Title: Genetic mutation detection using deep learning
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Application No.: US17817896Application Date: 2022-08-05
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Publication No.: US12094572B1Publication Date: 2024-09-17
- Inventor: Johnny Israeli , Avantika Lal , Michael Vella , Nikolai Yakovenko , Zhen Hu
- Applicant: NVIDIA Corporation
- Applicant Address: US CA Santa Clara
- Assignee: NVIDIA Corporation
- Current Assignee: NVIDIA Corporation
- Current Assignee Address: US CA San Jose
- Agency: FisherBroyles, LLP
- Agent Adam K. Whiting
- Main IPC: G16B30/00
- IPC: G16B30/00 ; G06F18/214 ; G06F18/24 ; G06N3/04 ; G06N3/08

Abstract:
The present disclosure provides methods, systems, and computer program products that use deep learning models to classify candidate mutations detected in sequencing data, particularly suboptimal sequencing data. The methods, systems, and programs provide for increased efficiency, accuracy, and speed in identifying mutations from a wide range of sequencing data.
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