Predicting Bone Metastasis Using Gene Expression-Based Machine Learning Models
Bone is the most common site of distant metastasis from malignant tumors, with the highest prevalence observed in breast and prostate cancers. Such bone metastases (BM) cause many painful skeletal-related events, such as severe bone pain, pathological fractures, spinal cord compression, and hypercal...
Main Authors: | Somayah Albaradei, Mahmut Uludag, Maha A. Thafar, Takashi Gojobori, Magbubah Essack, Xin Gao |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-11-01
|
Series: | Frontiers in Genetics |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2021.771092/full |
Similar Items
-
MetastaSite: Predicting metastasis to different sites using deep learning with gene expression data
by: Somayah Albaradei, et al.
Published: (2022-07-01) -
OncoRTT: Predicting novel oncology-related therapeutic targets using BERT embeddings and omics features
by: Maha A. Thafar, et al.
Published: (2023-04-01) -
MetaCancer: A deep learning-based pan-cancer metastasis prediction model developed using multi-omics data
by: Somayah Albaradei, et al.
Published: (2021-01-01) -
Machine learning and deep learning methods that use omics data for metastasis prediction
by: Somayah Albaradei, et al.
Published: (2021-01-01) -
Comparison Study of Computational Prediction Tools for Drug-Target Binding Affinities
by: Maha Thafar, et al.
Published: (2019-11-01)