Table 3. Comparison of classifications obtained using cohort based normalization against Exlab and InLab reference based normalization.
ExLab RMA pre-processing | InLab RMA pre-processing | |||||
---|---|---|---|---|---|---|
Accuracy | Cohen’s κ | Pearson’s r | Accuracy | Cohen’s κ | Pearson’s r | |
ABC/GCB (Wright) | ||||||
CHEPRETRO | .89 (.80, .94) | .89 (.79, .98) | - | .97 (.88, 1.) | .97 (.90, 1.) | - |
MDFCI | .63 (.52, .73) | .52 (.40, .64) | - | .72 (.59, .83) | .71 (.55, .86) | - |
IDRC | .67 (.63, .71) | .62 (.56, .67) | - | .84 (.80, .87) | .82 (.77, .86) | - |
LLMPP R-CHOP | .83 (.77, .87) | .82 (.74, .89) | - | .88 (.83, .92) | .88 (.82, .93) | - |
ABC/GCB | ||||||
CHEPRETRO | .88 (.79, .94) | .87 (.78, .97) | .999 (.998, .999) | .98 (.91, 1.) | .98 (.93, 1.) | 1. (.999, 1.) |
MDFCI | .69 (.59, .78) | .68 (.53, .82) | .998 (.998, .999) | .98 (.91, 1.) | .98 (.85, 1.) | 1. (.999, 1.) |
IDRC | .65 (.61, .69) | .62 (.57, .68) | .986 (.983, .988) | .93 (.91, .95) | .93 (.90, .96) | .993 (.991, .994) |
LLMPP R-CHOP | .82 (.77, .87) | .82 (.74, .89) | .999 (.999, .999) | .94 (.90, .97) | .94 (.90, .98) | .991 (.988, .993) |
BAGS | ||||||
CHEPRETRO | .58 (.47, .69) | .56 (.28, .84) | - | .78 (.65, .88) | .74 (.33, 1.) | - |
MDFCI | .54 (.43, .64) | .48 (.17, .79) | - | .80 (.68, .89) | .83 (.30, 1.) | - |
IDRC | .52 (.47, .56) | .41 (.32, .50) | - | .79 (.75, .83) | .79 (.62, .96) | - |
LLMPP R-CHOP | .56 (.49, .62) | .53 (.36, .70) | - | .88 (.82, .92) | .88 (.60, 1.) | - |
REGS | ||||||
CHEPRETRO | .73 (.68, .78) | .71 (.64, .77) | .934 (.920, .946) | .84 (.79, .88) | .83 (.76, .89) | .992 (.990, .994) |
MDFCI | .60 (.55, .65) | .55 (.48, .61) | .824 (.788, .855) | .90 (.86, .94) | .89 (.83, .96) | .997 (.996, .997) |
IDRC | .52 (.49, .54) | .33 (.30, .36) | .660 (.635, .685) | .85 (.84, .87) | .84 (.81, .86) | .981 (.979, .983) |
LLMPP R-CHOP | .58 (.54, .61) | .50 (.46, .54) | .810 (.786, .831) | .90 (.87, .92) | .89 (.85, .92) | .992 (.990, .993) |