Machine learning-based epigenetic classifiers to identify lymph node metastases in breast cancer patients with ER-positive, HER2-negative invasive ductal carcinoma
Publication
, Conference
Ensenyat-Mendez, M; Orozco, J; Baker, J; Le, J; Weidhaas, J; Marzese, D; DiNome, M
Published in: ANNALS OF SURGICAL ONCOLOGY
2022
Duke Scholars
Published In
ANNALS OF SURGICAL ONCOLOGY
EISSN
1534-4681
ISSN
1068-9265
Publication Date
2022
Volume
29
Issue
SUPPL 1
Start / End Page
52 / 53
Related Subject Headings
- Oncology & Carcinogenesis
- 3211 Oncology and carcinogenesis
- 1112 Oncology and Carcinogenesis
Citation
APA
Chicago
ICMJE
MLA
NLM
Ensenyat-Mendez, M., Orozco, J., Baker, J., Le, J., Weidhaas, J., Marzese, D., & DiNome, M. (2022). Machine learning-based epigenetic classifiers to identify lymph node metastases in breast cancer patients with ER-positive, HER2-negative invasive ductal carcinoma. In ANNALS OF SURGICAL ONCOLOGY (Vol. 29, pp. 52–53).
Ensenyat-Mendez, Miquel, Javier Orozco, Jennifer Baker, Julie Le, Joanne Weidhaas, Diego Marzese, and Maggie DiNome. “Machine learning-based epigenetic classifiers to identify lymph node metastases in breast cancer patients with ER-positive, HER2-negative invasive ductal carcinoma.” In ANNALS OF SURGICAL ONCOLOGY, 29:52–53, 2022.
Ensenyat-Mendez M, Orozco J, Baker J, Le J, Weidhaas J, Marzese D, et al. Machine learning-based epigenetic classifiers to identify lymph node metastases in breast cancer patients with ER-positive, HER2-negative invasive ductal carcinoma. In: ANNALS OF SURGICAL ONCOLOGY. 2022. p. 52–3.
Ensenyat-Mendez, Miquel, et al. “Machine learning-based epigenetic classifiers to identify lymph node metastases in breast cancer patients with ER-positive, HER2-negative invasive ductal carcinoma.” ANNALS OF SURGICAL ONCOLOGY, vol. 29, no. SUPPL 1, 2022, pp. 52–53.
Ensenyat-Mendez M, Orozco J, Baker J, Le J, Weidhaas J, Marzese D, DiNome M. Machine learning-based epigenetic classifiers to identify lymph node metastases in breast cancer patients with ER-positive, HER2-negative invasive ductal carcinoma. ANNALS OF SURGICAL ONCOLOGY. 2022. p. 52–53.
Published In
ANNALS OF SURGICAL ONCOLOGY
EISSN
1534-4681
ISSN
1068-9265
Publication Date
2022
Volume
29
Issue
SUPPL 1
Start / End Page
52 / 53
Related Subject Headings
- Oncology & Carcinogenesis
- 3211 Oncology and carcinogenesis
- 1112 Oncology and Carcinogenesis