Machine learning reveals mesenchymal breast carcinoma cell adaptation in response to matrix stiffness.
Vlada S. RozovaAyad G. AnwerAnna E. GullerHamidreza Aboulkheyr EsZahra KhabirAnastasiya I. SokolovaMaxim U. GavrilovEwa M. GoldysMajid Ebrahimi WarkianiJean-Paul ThieryAndrei V. ZvyaginPublished in: PLoS Comput. Biol. (2021)
Keyphrases
- machine learning
- covariate shift
- machine learning methods
- pattern recognition
- cell nuclei
- cancer cells
- computer vision
- data analysis
- learning tasks
- learning algorithm
- knowledge acquisition
- data mining
- inductive learning
- machine learning algorithms
- text classification
- natural language processing
- supervised learning
- feature selection
- decision trees
- adaptation process
- support vector machine
- finite element model
- explanation based learning
- covariance matrix
- model selection
- computational biology
- inductive logic programming
- linear algebra
- singular value decomposition
- text mining
- experimental data
- breast cancer diagnosis
- semi supervised learning