Hwang et al., 2008 - Google Patents
Learning on weighted hypergraphs to integrate protein interactions and gene expressions for cancer outcome predictionHwang et al., 2008
View PDF- Document ID
- 9340998102758222846
- Author
- Hwang T
- Tian Z
- Kuangy R
- Kocher J
- Publication year
- Publication venue
- 2008 Eighth IEEE international conference on data mining
External Links
Snippet
Building reliable predictive models from multiple complementary genomic data for cancer study is a crucial step towards successful cancer treatment and a full understanding of the underlying biological principles. To tackle this challenging data integration problem, we …
- 201000011510 cancer 0 title abstract description 49
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- G06F19/18—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for functional genomics or proteomics, e.g. genotype-phenotype associations, linkage disequilibrium, population genetics, binding site identification, mutagenesis, genotyping or genome annotation, protein-protein interactions or protein-nucleic acid interactions
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