Supervised statistical and machine learning approaches to inferring pairwise and module-based protein interaction networks

Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

Volumn , Issue , 2007, Pages 1365-1369

  Browne, Fiona ^a   Wang, Haiying ^a   Zheng, Huiru ^a   Azuaje, Francisco ^a  

^a UNIVERSITY OF ULSTER   (United Kingdom)

Author keywords

Computational systems biology; Dataset integration; Feature encoding; Functional data; Machine and statistical learning; Module based interactions; Protein protein interactions

Indexed keywords

ACTIVE NETWORKS; BAYESIAN NETWORKS; BIOINFORMATICS; CLASSIFIERS; ENCODING (SYMBOLS); INTEGRATION; LEARNING SYSTEMS; NEURAL NETWORKS;

COMPUTATIONAL SYSTEMS BIOLOGY; DATASET INTEGRATION; FEATURE ENCODING; FUNCTIONAL DATA; MODULE-BASED INTERACTIONS;

FLOW INTERACTIONS;

EID: 47649127930     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBE.2007.4375748     Document Type: Conference Paper

References (8)

1. R. Jansen et al. "A Bayesian Networks Approach for Predicting Protein-Protein Interactions from Genomic Data", Science, pp. 449-453, 2003.
2. L. Lu et al. "Assessing the limits of genomic data integration for predicting protein networks", Genome research, vol. 15, pp. 945-953, 2005.
3. C. Myers, et al. "Discovery of biological networks from diverse functional genomic data", Genome Biology, vol. 6, 2005.
4. F. Browne, H. Wang, H. Zheng and F. Azuaje, "An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions" JIB, vol 2, 2006.
5. S. Collins et al. "Towards a comprehensive atlas of the physical interactome of Saccharomyces cerevisiae". Molecular and Cellular Proteomics. Vol. 6 pp. 439-450, 2007
6. H. W. Mewes et al. "MIPS: a database for genomes and protein sequences", Nucleic Acids Research, vol. 30, pp. 31-34, 2002.
7. Mierswa et al. "YALE: Rapid Prototyping for Complex Data Mining Tasks", Proc KDD-06, 2006.
8. SPSS Inc. SPSS Base 10.0 for Windows User's Guide. SPSS Inc., Chicago IL. 2005.