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LogicNet: probabilistic continuous logics in reconstructing gene regulatory networks
BACKGROUND: Gene Regulatory Networks (GRNs) have been previously studied by using Boolean/multi-state logics. While the gene expression values are usually scaled into the range [0, 1], these GRN inference methods apply a threshold to discretize the data, resulting in missing information. Most of stu...
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| 發表在: | BMC Bioinformatics |
|---|---|
| Main Authors: | , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
BioMed Central
2020
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7372900/ https://ncbi.nlm.nih.gov/pubmed/32690031 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-03651-x |
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