Invention Grant
- Patent Title: Genetic mutation detection using deep learning
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Application No.: US16296135Application Date: 2019-03-07
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Publication No.: US11443832B2Publication Date: 2022-09-13
- 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 Santa Clara
- Agency: FisherBroyles LLP
- Agent Adam K. Whiting
- Main IPC: G16B30/00
- IPC: G16B30/00 ; G06K9/62 ; 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.
Public/Granted literature
- US20200286587A1 GENETIC MUTATION DETECTION USING DEEP LEARNING Public/Granted day:2020-09-10
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