Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach

@inproceedings{Pio2014IntegratingMT,
  title={Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach},
  author={Gianvito Pio and Donato Malerba and Domenica D'Elia and Michelangelo Ceci},
  booktitle={BMC Bioinformatics},
  year={2014}
}
MicroRNAs (miRNAs) are small non-coding RNAs which play a key role in the post-transcriptional regulation of many genes. Elucidating miRNA-regulated gene networks is crucial for the understanding of mechanisms and functions of miRNAs in many biological processes, such as cell proliferation, development, differentiation and cell homeostasis, as well as in many types of human tumors. To this aim, we have recently presented the biclustering method HOCCLUS2, for the discovery of miRNA regulatory… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 22 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 52 references

Similar Papers

Loading similar papers…