Network-based Biased Tree Ensembles (NetBiTE) for Drug Sensitivity Prediction and Drug Sensitivity Biomarker Identification in Cancer

@inproceedings{Oskooei2018NetworkbasedBT,
  title={Network-based Biased Tree Ensembles (NetBiTE) for Drug Sensitivity Prediction and Drug Sensitivity Biomarker Identification in Cancer},
  author={Ali Oskooei and Matteo Manica and Roland Mathis and Mar{\'i}a Rodr{\'i}guez Mart{\'i}nez},
  booktitle={Scientific Reports},
  year={2018}
}
  • Ali Oskooei, Matteo Manica, +1 author María Rodríguez Martínez
  • Published in Scientific Reports 2018
  • Computer Science, Medicine, Biology, Mathematics
  • We present the Network-based Biased Tree Ensembles (NetBiTE) method for drug sensitivity prediction and drug sensitivity biomarker identification in cancer using a combination of prior knowledge and gene expression data. Our devised method consists of a biased tree ensemble that is built according to a probabilistic bias weight distribution. The bias weight distribution is obtained from the assignment of high weights to the drug targets and propagating the assigned weights over a protein… CONTINUE READING

    Create an AI-powered research feed to stay up to date with new papers like this posted to ArXiv

    6
    Twitter Mentions

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 82 REFERENCES

    In silico models of drug response in cancer cell lines based on various molecular descriptors. (University of Cambridge, 2016)

    • M. P. Menden
    • Scientific RepoRtS |
    • 2019