Classification of Five Cell Types from PBMC Samples using Single Cell Transcriptomics and Artificial Neural Networks.
Razin Abdulrauf ShaikhJiahui ZhongMinjie LyuSen LinDerin B. KeskinGuanglan ZhangLou ChitkushevVladimir BrusicPublished in: BIBM (2019)
Keyphrases
- artificial neural networks
- classification accuracy
- training set
- neural network
- classification systems
- training samples
- optimum path forest
- pattern classification
- text classification
- machine learning
- pattern recognition
- support vector machine
- decision trees
- data sets
- back propagation
- preprocessing
- correct classification
- microscopy images
- automatic classification
- neural network model
- machine learning methods
- decision rules
- support vector machine svm
- support vector
- benchmark datasets
- classification rules
- feature extraction
- model selection
- classification scheme
- supervised learning
- feature vectors
- confidence scores
- feature space
- immune response