Background: Assembly and function of neuronal synapses require the coordinated expression of a yet undetermined set of genes. Although roughly a thousand genes are expected to be important for this function in Drosophila melanogaster, just a few hundreds of them are known so far.
Results: In this work we trained three learning algorithms to predict a "synaptic function" for genes of Drosophila using data from a whole-body developmental transcriptome published by others. Using statistical and biological criteria to analyze and combine the predictions, we obtained a gene catalogue that is highly enriched in genes of relevance for Drosophila synapse assembly and function but still not recognized as such.
Conclusions: The utility of our approach is that it reduces the number of genes to be tested through hypothesis-driven experimentation.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4570697 | PMC |
| http://dx.doi.org/10.1186/s12864-015-1888-3 | DOI Listing |
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