Reconstructing gene regulatory networks from knock-out data using Gaussian Noise Model and Pearson Correlation Coefficient
Bioinformatics; Correlation methods; Gaussian distribution; Gaussian noise (electronic); Genes; DREAM; Gaussian model; Gene regulatory networks; Pearson correlation coefficients; Probability and statistics; Complex networks; algorithm; biological model; biology; gene inactivation; gene regulatory ne...
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| 主要な著者: | , , , |
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| フォーマット: | 論文 |
| 出版事項: |
Elsevier Ltd
2023
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| 要約: | Bioinformatics; Correlation methods; Gaussian distribution; Gaussian noise (electronic); Genes; DREAM; Gaussian model; Gene regulatory networks; Pearson correlation coefficients; Probability and statistics; Complex networks; algorithm; biological model; biology; gene inactivation; gene regulatory network; genetics; human; Algorithms; Computational Biology; Gene Knockout Techniques; Gene Regulatory Networks; Humans; Models, Genetic |
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