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Identification of Genes for Complex Diseases by Integrating Multiple Types of Genomic Data
Combining multi-type of genomic data for integrative analyses can take advantage of complementary information and thus can have higher power to identify genes/variables that would otherwise be impossible with individual data analysis. Here we proposed a sparse representation based clustering (SRC) m...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4164202/ https://ncbi.nlm.nih.gov/pubmed/23367184 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/EMBC.2012.6347249 |
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