On the feasibility of deep learning applications using raw mass spectrometry data.
Joris CadowMatteo ManicaRoland MathisTiannan GuoRuedi AebersoldMaría Rodríguez MartínezPublished in: Bioinform. (2021)
Keyphrases
- deep learning
- mass spectrometry data
- pattern classification
- high throughput
- unsupervised learning
- mass spectrometry
- unsupervised feature learning
- machine learning
- cancer classification
- microarray
- weakly supervised
- feature vectors
- model selection
- graph cuts
- mental models
- information extraction
- knn
- active learning
- pattern recognition
- image processing