DEEP LEARNING-BASED METHODS, DEVICES, AND SYSTEMS FOR PRENATAL TESTING
Methods for applying machine learning algorithms to nucleic acid sequencing-based diagnostics tests for detection of copy number variation and other genomic abnormalities are described. 描述了将机器学习算法应用于基于核酸测序的诊断测试以检测拷贝数变异和其他基因组异常的方法。...
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| Main Authors | , , |
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| Format | Patent |
| Language | Chinese English |
| Published |
08.01.2021
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| Subjects | |
| Online Access | Get full text |
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| Abstract | Methods for applying machine learning algorithms to nucleic acid sequencing-based diagnostics tests for detection of copy number variation and other genomic abnormalities are described.
描述了将机器学习算法应用于基于核酸测序的诊断测试以检测拷贝数变异和其他基因组异常的方法。 |
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| AbstractList | Methods for applying machine learning algorithms to nucleic acid sequencing-based diagnostics tests for detection of copy number variation and other genomic abnormalities are described.
描述了将机器学习算法应用于基于核酸测序的诊断测试以检测拷贝数变异和其他基因组异常的方法。 |
| Author | EHRICH MATHIAS VAN DEN BOOM DIRK DU LAWRENCE |
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| DocumentTitleAlternate | 用于产前检查的基于深度学习的方法、设备和系统 |
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| Title | DEEP LEARNING-BASED METHODS, DEVICES, AND SYSTEMS FOR PRENATAL TESTING |
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