iATMEcell: identification of abnormal tumor microenvironment cells to predict the clinical outcomes in cancer based on cell-cell crosstalk network.
Yuqi ShengJiashuo WuXiangmei LiJiayue QiuJi LiQinyu GeLiang ChengJunwei HanPublished in: Briefings Bioinform. (2023)
Keyphrases
- cancer cells
- cell lines
- lung cancer
- quantitative analysis
- cell segmentation
- cell cycle
- early detection
- microscopy images
- high rate
- cell division
- fluorescence microscopy images
- signal transduction pathways
- breast cancer
- densely packed
- living cells
- cancer treatment
- microscope images
- cell nucleus
- white blood cells
- stem cell
- treatment planning
- lung cancer patients
- disease progression
- cell nuclei
- cancer diagnosis
- computer aided