Machine learning-based tumor-infiltrating immune cell-associated lncRNAs for predicting prognosis and immunotherapy response in patients with glioblastoma.
Hao ZhangNan ZhangWantao WuRan ZhouShuyu LiZeyu WangZiyu DaiLiyang ZhangZaoqu LiuJian ZhangPeng LuoZhixiong LiuQuan ChengPublished in: Briefings Bioinform. (2022)
Keyphrases
- machine learning
- breast cancer
- prognostic factors
- breast cancer patients
- acute myeloid
- cancer patients
- machine learning methods
- immune response
- cancer cells
- lung cancer
- early detection
- therapy planning
- clinical studies
- tumor growth
- low grade gliomas
- decision trees
- brain tumors
- survival analysis
- outcome prediction
- information extraction
- logistic regression
- lung cancer patients
- stem cell
- cancer treatment
- machine learning algorithms
- data mining
- immune cells
- disease progression
- computational intelligence
- treatment planning
- artificial immune system
- clinical data
- cancer diagnosis
- learning algorithm
- clinical trials
- medical images