1. For each gene/feature, convert their are values to binary
new value(proteinomic data) = 1 if old value is greater than 1, else new value = 0
new value(Microarray data) = 1 if old value is not a null, else new value = null
2. N = total number of genes/features
3. YY = values of both samples are 1s NN = values of both samples are 0s/missing YN = value of sample1 is 1, and value of sample2 is 0/missing NY = value of sample1 is 0, and value of sample2 is 0/missing
4. Pct_YY = YY / N Pct_NN = NN / N Pct_YN = YN / N Pct_NY = NY / N
5. Agreement rate of sample1 and sampe2 = Pct_YY + Pct_NN
6. Kappa Value of Sample1 and sample2 Observed agreement = Pct_YY + Pct_NN Chance Agreement = (Pct_NN + Pct_NY)*(Pct_NN + Pct_YN) + (Pct_NY + Pct_YY)*(Pct_YN + Pct_YY) Kappa Value = (Observed agreement - Chance Agreement)/(1 - Chance Agreement )