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The t-test statistical validation has been applied for comparing the means of two samples (infected and normal), even if they have different number of glycans. The following steps are used to solve t-test validation:

 a) List H1N1 infected datasets for sample 1.

 b) List normal dataset for sample 2.

 c) Record the number replicates (in the data set, n = 3) for sample (The number of replicates for sample1, i.e., n1 is 3, the number of replicates for sample2, i.e., n2 is 3).

 d) Compute the mean of both n1 and n2 (x1’, x2’). [mean = total/n]

 e) Compute the standard deviation (σ) for each sample (σ1, σ2). Where, σ2 = ∑d2/(n − 1)

 f) Compute the variance that is the difference between the two means . Where

 g) Compute σb (square root of ).

 h) Compute the p value as follows:

Figure 2.6 Hierarchical cluster analysis of Influenza A (H1N1) infected human.

Figure 2.7 Hierarchical cluster analysis of Influenza A (H1N1) infected human.

Figure 2.8 Hierarchical cluster analysis of Influenza A (H1N1) infected human.

Figure 2.9 Fuzzy c-means cluster analysis of Influenza A (H1N1) infected human.