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ISSN:
2473-9529
eISSN:
2473-9537
Disciplines
(Field of Science):
- biomedical engineering (Engineering and Technology)
- medical biology (Medical and Health Sciences )
- pharmacology and pharmacy (Medical and Health Sciences )
- medical sciences (Medical and Health Sciences )
- health sciences (Medical and Health Sciences )
- biotechnology (Natural sciences)
(Field of Science)
Ministry points: Help
| Year | Points | List |
|---|---|---|
| Year 2025 | 40 | Ministry scored journals list 2024 |
| Year | Points | List |
|---|---|---|
| 2025 | 40 | Ministry scored journals list 2024 |
| 2024 | 40 | Ministry scored journals list 2024 |
| 2023 | 40 | Ministry Scored Journals List |
| 2022 | 40 | Ministry Scored Journals List 2019-2022 |
| 2021 | 40 | Ministry Scored Journals List 2019-2022 |
| 2020 | 40 | Ministry Scored Journals List 2019-2022 |
| 2019 | 40 | Ministry Scored Journals List 2019-2022 |
Model:
Open Access
Points CiteScore:
| Year | Points |
|---|---|
| Year 2023 | 12.7 |
| Year | Points |
|---|---|
| 2023 | 12.7 |
| 2022 | 11.5 |
| 2021 | 9.6 |
| 2020 | 6.5 |
| 2019 | 4 |
| 2018 | 1 |
Impact Factor:
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Sherpa Romeo:
Papers published in journal
Filters
total: 1
Catalog Journals
Year 2025
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Impact of clinical factors on accuracy of ovarian cancer detection via platelet RNA profiling
PublicationOvarian cancer (OC) presents a diagnostic challenge, often resulting in poor patient outcomes. Platelet RNA sequencing, which reflects host response to disease, shows promise for earlier OC detection. This study examines the impact of sex, age, platelet count, and the training on cancer types other than OC on classification accuracy achieved in the previous platelet-alone training data set. A total of 339 samples from healthy donors...
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