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Gene networks inference using dynamic Bayesian networks
| Content Provider | Semantic Scholar |
|---|---|
| Author | Perrin, Bruno-Edouard Ralaivola, Liva Mazurie, Aurélien Bottani, Samuele Mallet, Jacques D'alché-Buc, Florence |
| Copyright Year | 2003 |
| Abstract | This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactions capable of handling missing variables is proposed. It can be described as a dynamic Bayesian network particularly well suited to tackle the stochastic nature of gene regulation and gene expression measurement. Parameters of the model are learned through a penalized likelihood maximization implemented through an extended version of EM algorithm. Our approach is tested against experimental data relative to the S.O.S. DNA Repair network of the Escherichia coli bacterium. It appears to be able to extract the main regulations between the genes involved in this network. An added missing variable is found to model the main protein of the network. Good prediction abilities on unlearned data are observed. These first results are very promising: they show the power of the learning algorithm and the ability of the model to capture gene interactions. |
| Starting Page | 25 |
| Ending Page | 27 |
| Page Count | 3 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://bioinformatics.oxfordjournals.org/cgi/reprint/19/suppl_2/ii138.pdf |
| Alternate Webpage(s) | https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/bioinformatics/19/suppl_2/10.1093/bioinformatics/btg1071/2/btg1071.pdf?Expires=1492959955&Key-Pair-Id=APKAIUCZBIA4LVPAVW3Q&Signature=C34BjYRztAVWJ~JF8tZjRv9Pp-lgXAilIGt1KxaB~SBDyReWDYpmIDSGHGWm93T7B-m6BC5k3JiLu32X6ad-FG6YWJugMawde0AureSmzaB41~nPd1CuB0ko~NNh3rZTWZTKgAottqp4NqRnRX~HzyuIwlBt876TxIaU~9Maf-TXEHghBIzwr~zpeROm05qwAaWy0GYGzgnZrupfll-jHH3aw~oBxtsTt7S1MA5Tioy3a3mUhF7wLnbdmgIfX2DdnMiWNvezYdxCfuFD833YNeSMX0gMzQ5ZQzSXlMcBRFf5enj0tBGmNdLnVog7h-UH-WemWylhaeKd3HuSr59xwA__ |
| Alternate Webpage(s) | http://www-poleia.lip6.fr/~ralaivo/files/GeneInference_eccb03.ps.gz |
| PubMed reference number | 14534183v1 |
| Volume Number | 19 |
| Journal | ECCB |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Dynamic Bayesian network Expectation–maximization algorithm Gene Expression Gene regulatory network Handling (Psychology) Inference Interaction Machine learning Regulation |
| Content Type | Text |
| Resource Type | Article |