A prospective diagnostic model for breast cancer utilizing machine learning to examine the molecular immune infiltrate in HSPB6.

Wang L, Wang Y, Li Y, Zhou L, Liu S, Cao Y, Li Y, Liu S, Du J, Wang J, Zhu T

DOI: 10.1007/s00432-024-05995-w
Published: 2024 Oct 23
Container: Journal of cancer research and clinical oncology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s00432-024-05995-w,
  title = {A prospective diagnostic model for breast cancer utilizing machine learning to examine the molecular immune infiltrate in HSPB6.},
  author = {Wang L and Wang Y and Li Y and Zhou L and Liu S and Cao Y and Li Y and Liu S and Du J and Wang J and Zhu T},
  year = {2024},
  journal = {Journal of cancer research and clinical oncology},
  doi = {10.1007/s00432-024-05995-w},
  url = {https://doi.org/10.1007/s00432-024-05995-w}
}

RIS

TY  - JOUR
TI  - A prospective diagnostic model for breast cancer utilizing machine learning to examine the molecular immune infiltrate in HSPB6.
AU  - Wang L
AU  - Wang Y
AU  - Li Y
AU  - Zhou L
AU  - Liu S
AU  - Cao Y
AU  - Li Y
AU  - Liu S
AU  - Du J
AU  - Wang J
AU  - Zhu T
PY  - 2024
JO  - Journal of cancer research and clinical oncology
DO  - 10.1007/s00432-024-05995-w
UR  - https://doi.org/10.1007/s00432-024-05995-w
ER  -

APA

L, W., Y, W., Y, L., L, Z., S, L., Y, C., Y, L., S, L., J, D., J, W., & T, Z. (2024). A prospective diagnostic model for breast cancer utilizing machine learning to examine the molecular immune infiltrate in HSPB6.. Journal of cancer research and clinical oncology. https://doi.org/10.1007/s00432-024-05995-w

Source records

pubmed · retrieved 2026-09-25T16:41:17.543Z