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...

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Detalles Bibliográficos
Autores principales: Cao, Xuewei, Zhang, Ling, Islam, Md Khairul, Zhao, Mingxia, He, Cheng, Zhang, Kui, Liu, Sanzhen, Sha, Qiuying, Wei, Hairong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Methods Article
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

Internet

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

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