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

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

10.3390/ijms19010183

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Bibliographic Details
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
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Institution: National University of Singapore

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https://scholarbank.nus.edu.sg/handle/10635/182103

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