Predicting prognosis of breast cancer with gene signatures: are we lost in a sea of data?

Lignende værker

• Bayesian mixture models for assessment of gene differential behaviour and prediction of pCR through the integration of copy number and gene expression data.
  af: Filippo Trentini, et al.
  Udgivet: (2013-01-01)
• Bayesian Mixture Models for Assessment of Gene Differential Behaviour and Prediction of pCR through the Integration of Copy Number and Gene Expression Data
  af: Trentini, Filippo, et al.
  Udgivet: (2013)
• lncRNA Gene Signatures for Prediction of Breast Cancer Intrinsic Subtypes and Prognosis
  af: Zhang, Silu, et al.
  Udgivet: (2018)
• The m(6)A-related gene signature for predicting the prognosis of breast cancer
  af: Zhong, Shanliang, et al.
  Udgivet: (2021)
• Bioinformatics reveal macrophages marker genes signature in breast cancer to predict prognosis
  af: Li, Ying, et al.
  Udgivet: (2021)