Towards reconstruction of gene networks from expression data by supervised learning
BACKGROUND: Microarray experiments are generating datasets that can help in reconstructing gene networks. One of the most important problems in network reconstruction is finding, for each gene in the network, which genes can affect it and how. We use a supervised learning approach to address this qu...
में बचाया:
| में प्रकाशित: | Genome Biol |
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| मुख्य लेखकों: | , , |
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
BMC
2003
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| विषय: | |
| ऑनलाइन पहुंच: | https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC151290/ https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/12540298/ https://ncbi.nlm.nih.govhttps://doi.org/10.1186/gb-2003-4-1-r6 |
| टैग: |
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