Random Embeddings and Linear Regression can Predict Protein Function.
Tianyu LuAlex X. LuAlan M. MosesPublished in: CoRR (2021)
Keyphrases
- linear regression
- protein function
- least squares
- protein sequences
- protein function prediction
- nonlinear regression
- protein protein interactions
- protein structure
- gene ontology
- gene expression profiles
- protein interaction networks
- amino acids
- computational methods
- protein interaction
- computational tools
- protein complexes
- dimensionality reduction
- social networks
- protein structure prediction
- low dimensional
- high dimensional