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An Outranking Approach for Gene Prioritization Using Multinetworks
High-throughput experimental techniques such as genome-wide association studies have been instrumental in the identification of disease-associated genes. These methods often produce large lists of disease candidate genes which are time-consuming and expensive to experimentally validate. Computationa...
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Main Authors: | , , , |
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Formato: | Artigo |
Idioma: | Inglês |
Publicado em: |
Springer
2021-06-01
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Colecção: | International Journal of Computational Intelligence Systems |
Assuntos: | |
Acesso em linha: | https://www.atlantis-press.com/article/125957732/view |
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