dorsal/arxiv
View SchemaA stochastic approach to multi-gene expression dynamics
| Authors | T. Ochiai, J. C. Nacher, T. Akutsu |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0502015 |
| URL | https://arxiv.org/abs/q-bio/0502015 |
| DOI | 10.1016/j.physleta.2005.02.066 |
Abstract
In the last years, tens of thousands gene expression profiles for cells of several organisms have been monitored. Gene expression is a complex transcriptional process where mRNA molecules are translated into proteins, which control most of the cell functions. In this process, the correlation among genes is crucial to determine the specific functions of genes. Here, we propose a novel multi-dimensional stochastic approach to deal with the gene correlation phenomena. Interestingly, our stochastic framework suggests that the study of the gene correlation requires only one theoretical assumption -Markov property- and the experimental transition probability, which characterizes the gene correlation system. Finally, a gene expression experiment is proposed for future applications of the model.
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"abstract": "In the last years, tens of thousands gene expression profiles for cells of\nseveral organisms have been monitored. Gene expression is a complex\ntranscriptional process where mRNA molecules are translated into proteins,\nwhich control most of the cell functions. In this process, the correlation\namong genes is crucial to determine the specific functions of genes. Here, we\npropose a novel multi-dimensional stochastic approach to deal with the gene\ncorrelation phenomena. Interestingly, our stochastic framework suggests that\nthe study of the gene correlation requires only one theoretical assumption\n-Markov property- and the experimental transition probability, which\ncharacterizes the gene correlation system. Finally, a gene expression\nexperiment is proposed for future applications of the model.",
"arxiv_id": "q-bio/0502015",
"authors": [
"T. Ochiai",
"J. C. Nacher",
"T. Akutsu"
],
"categories": [
"q-bio.BM"
],
"doi": "10.1016/j.physleta.2005.02.066",
"title": "A stochastic approach to multi-gene expression dynamics",
"url": "https://arxiv.org/abs/q-bio/0502015"
},
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