Finding lung-cancer-related lncrnas based on laplacian regularized least squares with unbalanced bi-random walk

HIGHLIGHTS

• who: Finding Lung-Cancer-Related and colleagues from the Department of Oncology, Chifeng Municipal Hospital, Chifeng, China Hunan University of Technology have published the paper: Finding Lung-Cancer-Related lncRNAs Based on Laplacian Regularized Least Squares With Unbalanced Bi-Random Walk, in the Journal: (JOURNAL)
• what: That is, the authors propose an unbalanced bi-random walk algorithm. To assess the performance of the proposed LDA-RLSURW method, the authors compare it with other 10 classical LDA prediction methods, that is, LNCSIM1, LNCSIM2, ILNCSIM, and IDSSIM (Fan W. et_al, 2020). The authors aim to infer new . . .
  

   

  

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