Table 1 Coefficients of network metrics in two multiple regression models
Binding (linear regression) | HLA attributes | |||||
Variable | \({\alpha }_{b}\) | \({\beta }_{HL{A}_{degree}}\) | \({\beta }_{HL{A}_{closeness}}\) | \({\beta }_{HL{A}_{betweeness}}\) | \({\beta }_{HL{A}_{eigenvector}}\) | |
coefficient | 0.281 | − 0.048 | 0.095 | 0.02 | 0.003 | |
Peptide attributes | ||||||
Variable | Â | \({\beta }_{PE{P}_{degree}}\) | \({\beta }_{PE{P}_{closeness}}\) | \({\beta }_{PE{P}_{betweeness}}\) | \({\beta }_{{PEP}_{eigenvector}}\) | |
Coefficient |  | − 0.044 | − 0.173 | − 0.003 | 0.05 | |
Immunogenic (logistic regression) | HLA attributes | |||||
Variable | \({\alpha }_{i}\) | \({\gamma }_{HL{A}_{degree}}\) | \({\gamma }_{HL{A}_{closeness}}\) | \({\gamma }_{H{LA}_{betweeness}}\) | \({\gamma }_{HL{A}_{eigenvector}}\) | |
Coefficient | 1.914 | 5.241 | − 1.878 | − 4.083 | − 2.242 | |
Peptide attributes | ||||||
Variable | Â | \({\gamma }_{PE{P}_{degree}}\) | \({\gamma }_{PE{P}_{closeness}}\) | \({\gamma }_{PE{P}_{betweeness}}\) | \({\gamma }_{{PEP}_{eigenvector}}\) | |
Coefficient |  | − 0.429 | 3.791 | 0.092 | − 1.022 | |