Front Cover; New Approaches of Protein Function Prediction from Protein Interaction Networks; Copyright; Contents; Chapter 1: Introduction; 1.1. Gene Ontology (GO) Scheme; 1.2. FunCat Scheme; 1.3. Approaches Based on Amino Acid Sequences; 1.4. Approaches Based on Protein Structure; 1.5. Approaches Based on Genome Sequences; 1.6. Approaches Based on Phylogenetic Data; 1.7. Approaches Based on Microarray Expression Data; 1.8. Approaches Based on Protein Interaction Networks; 1.9. Approaches Based on Biomedical Literature; 1.10. Approaches Based on the Combination of Multiple Data Types.
Chapter 4: Iterative Approaches of Protein Function Prediction4.1. Local Iterative Function Prediction Method; 4.2. Semi-local Iterative Function Prediction Method; 4.3. Global Iterative Function Prediction Method; 4.3.1. Unannotated Protein Identification; 4.3.2. Protein Function Initialization; 4.3.3. Iterative Function Updating; 4.3.4. Final Prediction Result Selection; 4.4. Discussions; References; Chapter 5: Functional Aggregation for Protein Function Prediction; 5.1. Introduction; 5.2. Functional Aggregation-Based Prediction; 5.3. Discussions; References.
Chapter 6: Searching for Domains for Protein Function Prediction6.1. Introduction; 6.2. Prediction Algorithm; 6.2.1. Suitable Domain Selection Algorithm; 6.2.2. Dynamic Function Prediction Algorithm; 6.3. Discussions; References; Chapter 7: Protein Function Prediction from Functional Connectivity; 7.1. Introduction; 7.2. Function Prediction Algorithm; 7.2.1. Protein Functional Connectivity; 7.2.2. Function Addition; 7.2.3. Protein Function Prediction; 7.3. Discussions; References; Chapter 8: Conclusions; 8.1. Summary; 8.2. Future Directions; References; Index; Back Cover.
Note
Includes index.
Online resource; title from PDF title page (ScienceDirect, viewed January 30, 2017).
