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TGPred: efficient methods for predicting target genes of a transcription factor by integrating statistics, machine learning and optimization
Four statistical selection methods for inferring transcription factor (TF)–target gene (TG) pairs were developed by coupling mean squared error (MSE) or Huber loss function, with elastic net (ENET) or least absolute shrinkage and selection operator (Lasso) penalty. Two methods were also developed fo...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10498345/ https://www.ncbi.nlm.nih.gov/pubmed/37711605 http://dx.doi.org/10.1093/nargab/lqad083 |