@misc{indiciae3802c0f102fb,
  title = {Moving Beyond Binary Biomarkers: Machine Learning Model Resolves Concurrent and Molecularly Heterogeneous Mismatch Repair and Homologous Recombination Deficiencies in Prostate Cancer},
  author = {Sharma, K. and Wilson, D. A. and Wang, Y. and Haider, S. and Bhatlapenumarthi, V. and Boiarsky, D. and Cipriaso, J. M. and Yermakov, L. and Dutta, R. and Coleman, I. M. and Bankhead, A. and Jadhav, S. K. and Neupane, B. and Taylor, B. W. and Morrissey, C. and Schweitzer, M. T. and Montgomery, R. B. and Rao, S. and Nevalainen, M. T. and Nelson, A. A. and Antonarakis, E. S. and Pilea, P. G. and Berchuk, J. E. and Zarrabi, K. K. and Pritchard, C. and Kothari, A. and Chen, H.-Z. and George, B. and Kurzrock, R. and Ha, G. and Nelson, P. S. and Banerjee, A. and Auer, P. L. and Kilari, D. and De Sarkar, N.},
  year = {2025},
  doi = {10.1101/2025.10.08.680958},
  url = {https://www.biorxiv.org/content/10.1101/2025.10.08.680958v1},
  note = {Source identifier: 10.1101/2025.10.08.680958}
}