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A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autism
BACKGROUND: Machine learning approaches for predicting disease risk from high-dimensional whole genome sequence (WGS) data often result in unstable models that can be difficult to interpret, limiting the identification of putative sets of biomarkers. Here, we design and validate a graph-based method...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8091705/ https://www.ncbi.nlm.nih.gov/pubmed/33941233 http://dx.doi.org/10.1186/s13040-021-00262-x |