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PreprintAll rights reservedbioRxiv

Integrating Narrow-Window DIA with AI-Powered Search Enables Deep and Reliable Functional Proteomics

  • Y. Xiong
  • D. Stepec
  • H. Zhang
  • L. Tan
  • W. Bo
  • M. Burq
  • J. N. Weinstein
  • P. Cimermancic
  • P. Lorenzi1
  1. 1The University of Texas MD Anderson Cancer Center
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Cite

BibTeXRIS
BibTeX
@misc{xiong2026integrating,
  title = {{Integrating Narrow-Window DIA with AI-Powered Search Enables Deep and Reliable Functional Proteomics}},
  author = {Y. Xiong and D. Stepec and H. Zhang and L. Tan and W. Bo and M. Burq and J. N. Weinstein and P. Cimermancic and P. Lorenzi},
  howpublished = {bioRxiv},
  year = {2026},
  month = sep,
  doi = {10.64898/2026.09.04.749476},
  url = {https://www.biorxiv.org/content/10.64898/2026.09.04.749476v1},
}
RIS
TY  - UNPB
TI  - Integrating Narrow-Window DIA with AI-Powered Search Enables Deep and Reliable Functional Proteomics
AU  - Y. Xiong
AU  - D. Stepec
AU  - H. Zhang
AU  - L. Tan
AU  - W. Bo
AU  - M. Burq
AU  - J. N. Weinstein
AU  - P. Cimermancic
AU  - P. Lorenzi
PY  - 2026
DA  - 2026/09/04
PB  - bioRxiv
DO  - 10.64898/2026.09.04.749476
UR  - https://www.biorxiv.org/content/10.64898/2026.09.04.749476v1
ER  -