Quantum mechanics-based multitensor AI/ML uniquely able to discover, validate, and interpret predictors from small-cohort noisy high-dimensional multiomic data

Journal article

Orly Alter, Elizabeth Newman, Sri Priya Ponnapalli, Jessica W. Tsai
APL Quantum, vol. 3, 2026 Jun, p. 026116

Cite

APA Click to copy
Alter, O., Newman, E., Ponnapalli, S. P., & Tsai, J. W. (2026). Quantum mechanics-based multitensor {AI}/{ML} uniquely able to discover, validate, and interpret predictors from small-cohort noisy high-dimensional multiomic data. APL Quantum, 3, 026116. https://doi.org/10.1063/5.0305656

Chicago/Turabian Click to copy
Alter, Orly, Elizabeth Newman, Sri Priya Ponnapalli, and Jessica W. Tsai. “Quantum Mechanics-Based Multitensor {AI}/{ML} Uniquely Able to Discover, Validate, and Interpret Predictors from Small-Cohort Noisy High-Dimensional Multiomic Data.” APL Quantum 3 (June 2026): 026116.

MLA Click to copy
Alter, Orly, et al. “Quantum Mechanics-Based Multitensor {AI}/{ML} Uniquely Able to Discover, Validate, and Interpret Predictors from Small-Cohort Noisy High-Dimensional Multiomic Data.” APL Quantum, vol. 3, June 2026, p. 026116, doi:10.1063/5.0305656.

BibTeX Click to copy

@article{alter2026a,
  title = {Quantum mechanics-based multitensor {AI}/{ML} uniquely able to discover, validate, and interpret predictors from small-cohort noisy high-dimensional multiomic data},
  year = {2026},
  month = jun,
  journal = {APL Quantum},
  pages = {026116},
  volume = {3},
  doi = {10.1063/5.0305656},
  author = {Alter, Orly and Newman, Elizabeth and Ponnapalli, Sri Priya and Tsai, Jessica W.},
  month_numeric = {6}
}