Predicting RNA Mutation Effects through Machine Learning of High-Throughput Ribozyme Experiments (Student Abstract).
Joseph KitzhaberAshlyn TrappJames BeckEdoardo SerraFrancesca SpezzanoEric HaydenJessica RobertsPublished in: AAAI (2022)
Keyphrases
- high throughput
- genome wide
- machine learning
- microarray
- biological data
- systems biology
- rna seq
- protein protein interactions
- mass spectrometry
- low latency
- pattern recognition
- genomic data
- human genome
- proteomic data
- data acquisition
- transcription factors
- support vector machine
- mass spectrometry data
- data sets
- computational biology
- genome scale
- statistical methods
- statistical analysis
- machine learning methods
- living cells
- ms ms
- dna sequencing
- gene expression