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Batch normalization followed by merging is powerful for phenotype prediction integrating multiple heterogeneous studies
Heterogeneity in different genomic studies compromises the performance of machine learning models in cross-study phenotype predictions. Overcoming heterogeneity when incorporating different studies in terms of phenotype prediction is a challenging and critical step for developing machine learning al...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602384/ https://www.ncbi.nlm.nih.gov/pubmed/37844077 http://dx.doi.org/10.1371/journal.pcbi.1010608 |