Classification and biomarker selection in lower-grade glioma using robust sparse logistic regression applied to rna-seq data

HIGHLIGHTS

• who: Glioma and collaborators from the School of Science and Technology, University of Lisbon (FCT, Caparica, Portugal have published the paper: Classification and biomarker selection in lower-grade glioma using robust sparse logistic regression applied to RNA-seq data, in the Journal: (JOURNAL)
• what: The aim of this work is the identification of key transcriptomic markers in LGG through sparse logistic regression.
• how: In this work and models with the penalty were applied to RNA-seq data from The LGG RNA-sequencing (RNA-seq) dataset was obtained from Good prediction models were obtained . . .
  

   

  

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