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Learning directed acyclic graphs from large-scale genomics data
In this paper, we consider the problem of learning the genetic interaction map, i.e., the topology of a directed acyclic graph (DAG) of genetic interactions from noisy double-knockout (DK) data. Based on a set of well-established biological interaction models, we detect and classify the interactions...
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| 發表在: | EURASIP J Bioinform Syst Biol |
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| Main Authors: | , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Springer International Publishing
2017
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5607220/ https://ncbi.nlm.nih.gov/pubmed/28933027 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13637-017-0063-3 |
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