BREAST CANCER PREDICTION BASED ON AUTOENCODER UTILIZING MULTI-OMICS DATA
Cancer has been identified as a major challenge in the health sector worldwide. The types of cancer that are the leading causes of death in Indonesia are breast, cervical, lung, and colorectal cancers. The importance of early detection and intervention to reduce morbidity and mortality rates has...
محفوظ في:
المؤلف الرئيسي: | Dewanto Aji Wibisono, Achmad |
---|---|
التنسيق: | Theses |
اللغة: | Indonesia |
الوصول للمادة أونلاين: | https://digilib.itb.ac.id/gdl/view/76202 |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Machine learning approaches to predict drug responses in cancer from multi-omics data
بواسطة: Muhammad Zaki Bin Mohammad Bakri
منشور في: (2023) -
Deep learning approaches to predict clinical outcomes of cancer patients from multi-omics data
بواسطة: Wu, Lue
منشور في: (2020) -
Network-based integration of multi-omics data for clinical outcome prediction in neuroblastoma
بواسطة: Wang, Conghao, وآخرون
منشور في: (2023) -
Deep learning approaches to predict drug responses in cancer using a multi-omics approach
بواسطة: Lyu, Xintong
منشور في: (2020) -
Live demonstration : autoencoder-based predictive maintenance for IoT
بواسطة: Gopalakrishnan, Pradeep Kumar, وآخرون
منشور في: (2020)