Capturing the differences between humoral immunity in the normal and tumor environments from repertoire-seq of B-cell receptors using supervised machine learning.
Hiroki KonishiDaisuke KomuraHiroto KatohShinichiro AtsumiHirotomo KodaAsami YamamotoYasuyuki SetoMasashi FukayamaRui YamaguchiSeiya ImotoShumpei IshikawaPublished in: BMC Bioinform. (2019)
Keyphrases
- supervised machine learning
- cancer cells
- manually annotated
- active learning
- normal tissue
- supervised learning
- lung cancer
- breast cancer
- real world
- immune cells
- machine learning
- cell lines
- data mining
- general purpose
- knowledge discovery
- high level
- domain specific
- ground truth
- cancer diagnosis
- microscopy images
- knowledge representation
- low level
- immune response
- high quality