Prediction of whole-cell transcriptional response with machine learning.
Mohammed EslamiAmin Espah BorujeniHamed EramianMark WestonGeorge ZhengJoshua UrrutiaCarolyn CorbetDiveena BeckerPaul MaschhoffKatie ClowersAlexander CristofaroHamid Doost HosseiniD. Benjamin GordonYuval DorfanJedediah SingerMatthew VaughnNiall GaffneyJohn FonnerJoe StubbsChristopher A. VoigtEnoch YeungPublished in: Bioinform. (2022)
Keyphrases
- machine learning
- prediction accuracy
- cell cycle
- computer vision
- predictive modeling
- prediction algorithm
- machine learning approaches
- machine learning methods
- machine learning and statistical
- prediction model
- knowledge acquisition
- artificial intelligence
- text classification
- reinforcement learning
- data mining
- learning algorithm
- microscopy images
- feature selection
- systems biology
- pattern recognition
- learning systems
- text mining
- supervised learning
- inductive learning
- information extraction
- decision trees
- explanation based learning
- knowledge representation
- knowledge discovery
- computational intelligence
- natural language processing
- cellular processes
- subcellular localization