DeepCellEss: cell line-specific essential protein prediction with attention-based interpretable deep learning.
Journal:
Bioinformatics (Oxford, England)
Published Date:
Jan 1, 2023
Abstract
MOTIVATION: Protein essentiality is usually accepted to be a conditional trait and strongly affected by cellular environments. However, existing computational methods often do not take such characteristics into account, preferring to incorporate all available data and train a general model for all cell lines. In addition, the lack of model interpretability limits further exploration and analysis of essential protein predictions.