التفاصيل البيبلوغرافية
| العنوان: |
The receiver operating characteristics (ROC) for each class. |
| المؤلفون: |
Hiam Alquran, Amjed Al Fahoum, Ala’a Zyout, Isam Abu Qasmieh |
| سنة النشر: |
2023 |
| مصطلحات موضوعية: |
Biochemistry, Molecular Biology, Infectious Diseases, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, uses different topologies, numerous scientific disciplines, integrating bispectral analysis, frequently ineffective techniques, facilitate pharmaceutical innovation, diverse cellular systems, convolutional neural networks, deep learning techniques, deep learning strategies, utilizes bispectrum analysis, represent protein sequences, protein family identification, numerous protein datasets, +proteins%22">xlink "> proteins, outperform existing methods, integrates bispectrum characteristics, employs bispectrum characteristics, method &# 8217, machine learning algorithms, deep learning approaches, identifying protein families, classify protein families, play crucial roles, chooses robust features, advanced protein classification |
| الوصف: |
The receiver operating characteristics (ROC) for each class. |
| نوع الوثيقة: |
still image |
| اللغة: |
unknown |
| Relation: |
https://figshare.com/articles/figure/The_receiver_operating_characteristics_ROC_for_each_class_/24811157 |
| DOI: |
10.1371/journal.pone.0295805.g006 |
| الاتاحة: |
https://doi.org/10.1371/journal.pone.0295805.g006
https://figshare.com/articles/figure/The_receiver_operating_characteristics_ROC_for_each_class_/24811157 |
| Rights: |
CC BY 4.0 |
| رقم الانضمام: |
edsbas.F7D4429D |
| قاعدة البيانات: |
BASE |