Assessing the Performances of Protein Function Prediction Algorithms from the Perspectives of Identification Accuracy and False Discovery Rate

• Main Authors: Yu, C.Y, Li, X.X, Yang, H, Li, Y.H, Xue, W.W, Chen, Y.Z, Tao, L, Zhu, F
• Other Authors: PHARMACY
• Format: Review
• Published: 2020
• Subjects: evaluation study; machine learning; procedures; proteomics; reproducibility; sequence analysis; software; standards; Machine Learning; Proteomics; Reproducibility of Results; Sequence Analysis, Protein; Software
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/182103
• Institution: National University of Singapore

10.3390/ijms19010183