| For: | Tang ZJ, Pan YM, Li W, Ma RQ, Wang JL. Unlocking the future: Mitochondrial genes and neural networks in predicting ovarian cancer prognosis and immunotherapy response. World J Clin Oncol 2025; 16(1): 94813 [PMID: 39867736 DOI: 10.5306/wjco.v16.i1.94813] |
|---|---|
| URL: | https://www.wjgnet.com/2218-4333/full/v16/i1/94813.htm |
| Number | Citing Articles |
| 1 |
Daniela De Benedictis, Aasia Bibi, Luigi Leonardo Palese, Antonella Cormio, Clara Musicco, Vera Loizzi, Gennaro Cormio, Ali Abdelhameed, Domenico De Rasmo, Anna Signorile. Cellular cAMP Content and Mitochondrial Profile Define Different Subtypes of Ovarian Cancer Cells. International Journal of Molecular Sciences 2025; 26(21) doi: 10.3390/ijms262110474
|
| 2 |
Zhi-Jian Tang. Retraction note: Unlocking the future: Mitochondrial genes and neural networks in predicting ovarian cancer prognosis and immunotherapy response. World Journal of Clinical Oncology 2026; 17(9): 124428 doi: 10.5306/wjco.124428
Abstract(18) |
Core Tip(41) |
Full Article(HTML)(69)
|
Full Article (PDF)-298K(4)
|
Full Article with Cover (PDF)-604K(6)
|
Full Article (XML)-9K(2)
|
Audio-127K(0)
|
Times Cited (0)
|
Total Visits (81)
|
Open
|
| 3 |
Aila Akosua Kattner. Inherently imperfect, inherently evolving – The pursuit of precision through biomarkers. Biomedical Journal 2025; 48(1) doi: 10.1016/j.bj.2025.100839
|
| 4 |
Hardik Dhingra, Roopashri Shetty. Comparative Study of Machine Learning and Deep Learning Models for Early Prediction of Ovarian Cancer. IEEE Access 2025; 13 doi: 10.1109/ACCESS.2025.3567081
|