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Table 1 TPR/TNR for the matrix \(\varvec{\Omega }\) averaged over 80 replications with \(s_{1}=0.1\), \(s_{2}= 1\) and \(\lambda = (1; 1; 1;\ldots ;1)^{T}\)

From: Tisslet tissues-based learning estimation for transcriptomics

Sample size

Correlation

Normal

Skewed Normal

n=50

\(\rho =0.0\)

78.24/78.64

80.43/80.20

 

\(\rho =0.4\)

79.26/79.39

82.10/78.60

 

\(\rho =0.8\)

86.88/76.79

88.27/76.04

n=150

\(\rho =0.0\)

86.73/77.68

88.55/76.72

 

\(\rho =0.4\)

88.41/74.60

89.66/74.93

 

\(\rho =0.8\)

92.16/74.27

93.35/73.43