Identification of Hürthle cell cancers: solving a clinical challenge with genomic sequencing and a trio of machine learning algorithms.
Yangyang HaoQuan-Yang DuhRichard T. KloosJoshua BabiarzR. Mack HarrellS. Thomas TraweekSu Yeon KimGrazyna FedorowiczP. Sean WalshPeter M. SadowJing HuangGiulia C. KennedyPublished in: BMC Syst. Biol. (2019)
Keyphrases
- machine learning algorithms
- cell lines
- benchmark data sets
- learning algorithm
- machine learning
- machine learning methods
- decision trees
- learning problems
- learning tasks
- predictive accuracy
- machine learning systems
- cancer treatment
- cell cycle
- machine learning approaches
- random forests
- input features
- high throughput sequencing
- standard machine learning algorithms
- computational approaches
- machine learning models
- high throughput
- transfer learning
- supervised learning
- cell biology