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Publications

Published under Rebecca D. Pollard.

  1. 2026
    Peer reviewed

    Transcriptome-based synthetic lethality predictions to improve targeted therapy/immunotherapy treatment prioritization in non-metastatic breast cancer: BC-SELECT

    Kim, Y., Nagy, M., Pollard, R. D., and Rajagopal, P. S.

    Cancer Research Communications

    Synthetic-lethality predictions from tumour transcriptomes, used to prioritise targeted therapy and immunotherapy in non-metastatic breast cancer.

    BibTeX
    @article{kim2026bcselect,
  author  = {Kim, Y. and Nagy, M. and Pollard, R. D. and Rajagopal, P. S.},
  title   = {Transcriptome-based synthetic lethality predictions to improve
             targeted therapy/immunotherapy treatment prioritization in
             non-metastatic breast cancer: BC-SELECT},
  journal = {Cancer Research Communications},
  year    = {2026},
  doi     = {10.1158/2767-9764.CRC-26-0401},
  note    = {PMID: 42691954}
}
  2. 2024
    Peer reviewed

    Identification of germline population variants misclassified as cancer-associated somatic variants

    Pollard, R. D., Wilkerson, M. D., and Rajagopal, P. S.

    Frontiers in Medicine, 11, 1361317

    Common inherited variants were being recorded in a cancer mutation database as tumour mutations, and the rate differs by ancestry.

    BibTeX
    @article{pollard2024germline,
  author  = {Pollard, Rebecca D. and Wilkerson, Matthew D. and Rajagopal, Padma Sheila},
  title   = {Identification of germline population variants misclassified as
             cancer-associated somatic variants},
  journal = {Frontiers in Medicine},
  volume  = {11},
  pages   = {1361317},
  year    = {2024},
  doi     = {10.3389/fmed.2024.1361317}
}
  3. 2021
    Preprint

    Predicting propensity to vote with machine learning

    Pollard, R. D., Pollard, S. M., and Streit, S.

    arXiv preprint arXiv:2102.01535

    Supervised models for voter turnout, reaching a Matthews correlation coefficient of 0.39.

    BibTeX
    @misc{pollard2021voting,
  author = {Pollard, Rebecca D. and Pollard, Sara M. and Streit, Scott},
  title  = {Predicting Propensity to Vote with Machine Learning},
  year   = {2021},
  eprint = {2102.01535},
  archivePrefix = {arXiv}
}