Zhang et al., 2022 - Google Patents
Causal gene identification using non-linear regression-based independence testsZhang et al., 2022
- Document ID
- 13863004017888472692
- Author
- Zhang H
- Yan C
- Xia Y
- Guan J
- Zhou S
- Publication year
- Publication venue
- IEEE/ACM Transactions on Computational Biology and Bioinformatics
External Links
Snippet
With the development of biomedical techniques in the past decades, causal gene identification has become one of the most promising applications in human genome-based business, which can help doctors to evaluate the risk of certain genetic diseases and …
- 230000001364 causal effect 0 title abstract description 170
Classifications
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- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/28—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for programming tools or database systems, e.g. ontologies, heterogeneous data integration, data warehousing or computing architectures
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- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
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