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Table of contents:
- Overview
- Performance Plots
- Performance of RNAsubopt - scored higher in this pairwise comparison
- Performance of RNASLOpt - scored lower in this pairwise comparison
- Compile and download dataset for RNAsubopt & RNASLOpt [.zip] - may take several seconds...
Overview
| Metric | RNAsubopt | RNASLOpt | |
|---|---|---|---|
| MCC | 0.611 | > | 0.580 |
| Average MCC ± 95% Confidence Intervals | 0.661 ± 0.103 | > | 0.634 ± 0.104 |
| Sensitivity | 0.645 | > | 0.559 |
| Positive Predictive Value | 0.584 | < | 0.608 |
| Total TP | 602 | > | 522 |
| Total TN | 105780 | < | 105952 |
| Total FP | 559 | > | 429 |
| Total FP CONTRA | 136 | > | 114 |
| Total FP INCONS | 292 | > | 222 |
| Total FP COMP | 131 | > | 93 |
| Total FN | 331 | < | 411 |
| P-value | 3.85233844192e-08 | ||
Performance plots
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Comparison of performance of RNAsubopt and RNASLOpt. Positive Predictive Value (PPV) is plotted against sensitivity. Each dot represents a single test of each method. See tables below for raw data (individual counts for RNAsubopt and RNASLOpt).
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Comparison of performance of RNAsubopt and RNASLOpt. Positive Predictive Value (PPV) is plotted against sensitivity. Each dot represents a single test of each method. See tables below for raw data (individual counts for RNAsubopt and RNASLOpt).
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Average Matthews Correlation Coefficients (MCC) with 95% confidence intervals (CIs) were plotted for different RNA families, for which at least 3 members were present in the benchmarking dataset. 'n' denotes the number of MCCs used to calculate the average and CI. See tables below for raw data (individual counts for RNAsubopt and RNASLOpt).
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Average Matthews Correlation Coefficients (MCC) with 95% confidence intervals (CIs) were plotted for different RNA families, for which at least 3 members were present in the benchmarking dataset. 'n' denotes the number of MCCs used to calculate the average and CI. See tables below for raw data (individual counts for RNAsubopt and RNASLOpt).
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Comparison of average Matthews Correlation Coefficients (MCCs) for RNAsubopt and RNASLOpt. The whiskers correspond to 95% confidence intervals (CIs). 'n' denotes the number of MCCs used to calculate average MCCs and CIs. See tables below for raw data (individual counts for RNAsubopt and RNASLOpt).
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Comparison of average Matthews Correlation Coefficients (MCCs) for RNAsubopt and RNASLOpt. The whiskers correspond to 95% confidence intervals (CIs). 'n' denotes the number of MCCs used to calculate average MCCs and CIs. See tables below for raw data (individual counts for RNAsubopt and RNASLOpt).
Performance of RNAsubopt - scored higher in this pairwise comparison
1. Total counts & total scores for RNAsubopt
| Total Base Pair Counts | |
|---|---|
| Total TP | 602 |
| Total TN | 105780 |
| Total FP | 559 |
| Total FP CONTRA | 136 |
| Total FP INCONS | 292 |
| Total FP COMP | 131 |
| Total FN | 331 |
| Total Scores | |
|---|---|
| MCC | 0.611 |
| Average MCC ± 95% Confidence Intervals | 0.661 ± 0.103 |
| Sensitivity | 0.645 |
| Positive Predictive Value | 0.584 |
| Nr of predictions | 47 |
2. Individual counts for RNAsubopt [ download as .csv ]
| RNA Chain | Rfam family | MCC | SENS | PPV | TP | TN | FP | FP CONTRA | FP INCONS | FP COMP | FN |
| 2LC8_A | -0.03 | 0.00 | 0.00 | 0 | 513 | 15 | 3 | 12 | 0 | 18 | |
| 2LDL_A | - | 1.00 | 1.00 | 1.00 | 9 | 131 | 1 | 0 | 0 | 1 | 0 |
| 2LHP_A | - | 1.00 | 1.00 | 1.00 | 15 | 246 | 0 | 0 | 0 | 0 | 0 |
| 2LI4_A | - | 1.00 | 1.00 | 1.00 | 14 | 175 | 0 | 0 | 0 | 0 | 0 |
| 2LJJ_A | - | 1.00 | 1.00 | 1.00 | 7 | 123 | 3 | 0 | 0 | 3 | 0 |
| 2LK3_A | - | 1.00 | 1.00 | 1.00 | 9 | 91 | 0 | 0 | 0 | 0 | 0 |
| 2LKR_A | - | 0.85 | 0.86 | 0.83 | 25 | 2410 | 14 | 0 | 5 | 9 | 4 |
| 2LQZ_A | - | 1.00 | 1.00 | 1.00 | 8 | 124 | 2 | 0 | 0 | 2 | 0 |
| 2LWK_A | - | 0.95 | 0.91 | 1.00 | 10 | 197 | 1 | 0 | 0 | 1 | 1 |
| 3J0L_a | - | 0.35 | 0.36 | 0.36 | 4 | 400 | 8 | 3 | 4 | 1 | 7 |
| 3J0L_g | - | -0.01 | 0.00 | 0.00 | 0 | 173 | 5 | 1 | 2 | 2 | 2 |
| 3J0L_7 | - | -0.02 | 0.00 | 0.00 | 0 | 507 | 12 | 2 | 10 | 0 | 10 |
| 3J0L_h | - | 0.87 | 0.81 | 0.93 | 26 | 2112 | 4 | 1 | 1 | 2 | 6 |
| 3J0L_8 | - | 1.00 | 1.00 | 1.00 | 7 | 69 | 0 | 0 | 0 | 0 | 0 |
| 3J0L_1 | - | 0.83 | 0.77 | 0.91 | 10 | 473 | 4 | 0 | 1 | 3 | 3 |
| 3J0L_2 | - | 0.28 | 0.31 | 0.28 | 8 | 2221 | 25 | 2 | 19 | 4 | 18 |
| 3J16_L | 0.49 | 0.52 | 0.48 | 11 | 1136 | 12 | 3 | 9 | 0 | 10 | |
| 3J20_1 | 1.00 | 1.00 | 1.00 | 20 | 1092 | 3 | 0 | 0 | 3 | 0 | |
| 3J20_0 | 0.51 | 0.57 | 0.48 | 12 | 1194 | 14 | 2 | 11 | 1 | 9 | |
| 3J2C_M | - | 0.55 | 0.64 | 0.48 | 61 | 39798 | 87 | 28 | 38 | 21 | 35 |
| 3J2C_O | - | 0.66 | 0.68 | 0.65 | 28 | 3944 | 20 | 3 | 12 | 5 | 13 |
| 3J2L_3 | 0.80 | 0.82 | 0.78 | 28 | 2984 | 13 | 1 | 7 | 5 | 6 | |
| 3SN2_B | 0.95 | 0.92 | 1.00 | 11 | 143 | 0 | 0 | 0 | 0 | 1 | |
| 3TRZ_Z | - | 1.00 | 1.00 | 1.00 | 5 | 87 | 1 | 0 | 0 | 1 | 0 |
| 3TS0_U | - | 1.00 | 1.00 | 1.00 | 6 | 112 | 1 | 0 | 0 | 1 | 0 |
| 3TS2_V | - | 1.00 | 1.00 | 1.00 | 5 | 103 | 0 | 0 | 0 | 0 | 0 |
| 3U4M_B | - | 0.49 | 0.55 | 0.46 | 12 | 1250 | 14 | 3 | 11 | 0 | 10 |
| 3UZL_B | 0.49 | 0.50 | 0.50 | 8 | 1277 | 15 | 0 | 8 | 7 | 8 | |
| 3VJR_D | - | 1.00 | 1.00 | 1.00 | 12 | 239 | 0 | 0 | 0 | 0 | 0 |
| 3W3S_B | 0.95 | 0.94 | 0.97 | 31 | 1957 | 2 | 0 | 1 | 1 | 2 | |
| 3ZEX_F | - | -0.01 | 0.00 | 0.00 | 0 | 908 | 11 | 2 | 4 | 5 | 4 |
| 3ZEX_G | - | 0.59 | 0.64 | 0.55 | 29 | 6454 | 34 | 12 | 12 | 10 | 16 |
| 3ZEX_E | - | 0.00 | 0.00 | 0.00 | 0 | 8255 | 54 | 17 | 32 | 5 | 34 |
| 3ZEX_D | 0.91 | 0.89 | 0.94 | 31 | 2763 | 6 | 0 | 2 | 4 | 4 | |
| 3ZEX_H | - | 0.25 | 0.37 | 0.18 | 7 | 3586 | 32 | 20 | 12 | 0 | 12 |
| 3ZEX_C | 0.30 | 0.34 | 0.26 | 10 | 5336 | 43 | 5 | 23 | 15 | 19 | |
| 4A1C_3 | 0.85 | 0.84 | 0.86 | 31 | 2727 | 8 | 0 | 5 | 3 | 6 | |
| 4A1C_2 | 0.18 | 0.25 | 0.14 | 5 | 4481 | 43 | 13 | 17 | 13 | 15 | |
| 4A4U_A | - | 1.00 | 1.00 | 1.00 | 9 | 96 | 0 | 0 | 0 | 0 | 0 |
| 4AOB_A | 0.62 | 0.62 | 0.64 | 18 | 1409 | 11 | 4 | 6 | 1 | 11 | |
| 4ATO_G | - | 0.36 | 0.43 | 0.33 | 3 | 211 | 6 | 6 | 0 | 0 | 4 |
| 4ENB_A | 0.85 | 0.73 | 1.00 | 11 | 461 | 2 | 0 | 0 | 2 | 4 | |
| 4ENC_A | 0.36 | 0.33 | 0.42 | 5 | 484 | 7 | 0 | 7 | 0 | 10 | |
| 4FNJ_A | - | 0.91 | 0.83 | 1.00 | 10 | 240 | 0 | 0 | 0 | 0 | 2 |
| 4FRG_B | 0.36 | 0.38 | 0.38 | 9 | 1178 | 15 | 2 | 13 | 0 | 15 | |
| 4FRN_A | 0.58 | 0.57 | 0.59 | 16 | 1821 | 11 | 3 | 8 | 0 | 12 | |
| 4HXH_A | - | 1.00 | 1.00 | 1.00 | 6 | 89 | 0 | 0 | 0 | 0 | 0 |
Performance of RNASLOpt - scored lower in this pairwise comparison
1. Total counts & total scores for RNASLOpt
| Total Base Pair Counts | |
|---|---|
| Total TP | 522 |
| Total TN | 105952 |
| Total FP | 429 |
| Total FP CONTRA | 114 |
| Total FP INCONS | 222 |
| Total FP COMP | 93 |
| Total FN | 411 |
| Total Scores | |
|---|---|
| MCC | 0.580 |
| Average MCC ± 95% Confidence Intervals | 0.634 ± 0.104 |
| Sensitivity | 0.559 |
| Positive Predictive Value | 0.608 |
| Nr of predictions | 47 |
2. Individual counts for RNASLOpt [ download as .csv ]
| RNA Chain | Rfam family | MCC | SENS | PPV | TP | TN | FP | FP CONTRA | FP INCONS | FP COMP | FN |
| 2LC8_A | 0.48 | 0.39 | 0.64 | 7 | 517 | 4 | 0 | 4 | 0 | 11 | |
| 2LDL_A | - | 1.00 | 1.00 | 1.00 | 9 | 131 | 1 | 0 | 0 | 1 | 0 |
| 2LHP_A | - | 1.00 | 1.00 | 1.00 | 15 | 246 | 0 | 0 | 0 | 0 | 0 |
| 2LI4_A | - | 1.00 | 1.00 | 1.00 | 14 | 175 | 0 | 0 | 0 | 0 | 0 |
| 2LJJ_A | - | 1.00 | 1.00 | 1.00 | 7 | 123 | 3 | 0 | 0 | 3 | 0 |
| 2LK3_A | - | 1.00 | 1.00 | 1.00 | 9 | 91 | 0 | 0 | 0 | 0 | 0 |
| 2LKR_A | - | 0.70 | 0.69 | 0.71 | 20 | 2412 | 13 | 1 | 7 | 5 | 9 |
| 2LQZ_A | - | 1.00 | 1.00 | 1.00 | 8 | 124 | 2 | 0 | 0 | 2 | 0 |
| 2LWK_A | - | 0.95 | 0.91 | 1.00 | 10 | 197 | 1 | 0 | 0 | 1 | 1 |
| 3J0L_a | - | 0.21 | 0.18 | 0.29 | 2 | 404 | 6 | 3 | 2 | 1 | 9 |
| 3J0L_g | - | -0.01 | 0.00 | 0.00 | 0 | 174 | 4 | 0 | 2 | 2 | 2 |
| 3J0L_7 | - | -0.02 | 0.00 | 0.00 | 0 | 506 | 13 | 3 | 10 | 0 | 10 |
| 3J0L_h | - | 0.81 | 0.66 | 1.00 | 21 | 2119 | 0 | 0 | 0 | 0 | 11 |
| 3J0L_8 | - | 0.74 | 0.57 | 1.00 | 4 | 72 | 0 | 0 | 0 | 0 | 3 |
| 3J0L_1 | - | 0.73 | 0.62 | 0.89 | 8 | 475 | 4 | 0 | 1 | 3 | 5 |
| 3J0L_2 | - | 0.49 | 0.46 | 0.52 | 12 | 2227 | 18 | 0 | 11 | 7 | 14 |
| 3J16_L | 0.63 | 0.57 | 0.71 | 12 | 1142 | 5 | 0 | 5 | 0 | 9 | |
| 3J20_1 | 1.00 | 1.00 | 1.00 | 20 | 1092 | 1 | 0 | 0 | 1 | 0 | |
| 3J20_0 | 0.74 | 0.76 | 0.73 | 16 | 1197 | 7 | 3 | 3 | 1 | 5 | |
| 3J2C_M | - | 0.46 | 0.49 | 0.44 | 47 | 39819 | 77 | 22 | 37 | 18 | 49 |
| 3J2C_O | - | 0.72 | 0.68 | 0.76 | 28 | 3950 | 13 | 2 | 7 | 4 | 13 |
| 3J2L_3 | 0.71 | 0.68 | 0.74 | 23 | 2989 | 11 | 0 | 8 | 3 | 11 | |
| 3SN2_B | 0.95 | 0.92 | 1.00 | 11 | 143 | 0 | 0 | 0 | 0 | 1 | |
| 3TRZ_Z | - | 1.00 | 1.00 | 1.00 | 5 | 87 | 2 | 0 | 0 | 2 | 0 |
| 3TS0_U | - | 1.00 | 1.00 | 1.00 | 6 | 112 | 1 | 0 | 0 | 1 | 0 |
| 3TS2_V | - | 1.00 | 1.00 | 1.00 | 5 | 103 | 0 | 0 | 0 | 0 | 0 |
| 3U4M_B | - | 0.49 | 0.55 | 0.46 | 12 | 1250 | 14 | 3 | 11 | 0 | 10 |
| 3UZL_B | 0.55 | 0.50 | 0.62 | 8 | 1280 | 9 | 1 | 4 | 4 | 8 | |
| 3VJR_D | - | 1.00 | 1.00 | 1.00 | 12 | 239 | 0 | 0 | 0 | 0 | 0 |
| 3W3S_B | 0.90 | 0.85 | 0.97 | 28 | 1960 | 2 | 0 | 1 | 1 | 5 | |
| 3ZEX_F | - | 0.00 | 0.00 | 0.00 | 0 | 914 | 0 | 0 | 0 | 0 | 4 |
| 3ZEX_G | - | 0.00 | 0.00 | 0.00 | 0 | 6507 | 0 | 0 | 0 | 0 | 45 |
| 3ZEX_E | - | 0.00 | 0.00 | 0.00 | 0 | 8254 | 55 | 20 | 30 | 5 | 34 |
| 3ZEX_D | 0.86 | 0.74 | 1.00 | 26 | 2770 | 4 | 0 | 0 | 4 | 9 | |
| 3ZEX_H | - | 0.27 | 0.37 | 0.21 | 7 | 3592 | 26 | 16 | 10 | 0 | 12 |
| 3ZEX_C | 0.32 | 0.34 | 0.31 | 10 | 5342 | 36 | 8 | 14 | 14 | 19 | |
| 4A1C_3 | 0.79 | 0.73 | 0.87 | 27 | 2732 | 5 | 0 | 4 | 1 | 10 | |
| 4A1C_2 | 0.30 | 0.40 | 0.24 | 8 | 4482 | 35 | 13 | 13 | 9 | 12 | |
| 4A4U_A | - | 1.00 | 1.00 | 1.00 | 9 | 96 | 0 | 0 | 0 | 0 | 0 |
| 4AOB_A | 0.31 | 0.28 | 0.38 | 8 | 1416 | 13 | 3 | 10 | 0 | 21 | |
| 4ATO_G | - | 0.36 | 0.43 | 0.33 | 3 | 211 | 6 | 6 | 0 | 0 | 4 |
| 4ENB_A | 0.85 | 0.73 | 1.00 | 11 | 461 | 0 | 0 | 0 | 0 | 4 | |
| 4ENC_A | 0.73 | 0.60 | 0.90 | 9 | 486 | 1 | 1 | 0 | 0 | 6 | |
| 4FNJ_A | - | -0.05 | 0.00 | 0.00 | 0 | 239 | 11 | 0 | 11 | 0 | 12 |
| 4FRG_B | 0.60 | 0.58 | 0.64 | 14 | 1180 | 8 | 3 | 5 | 0 | 10 | |
| 4FRN_A | 0.19 | 0.18 | 0.22 | 5 | 1825 | 18 | 6 | 12 | 0 | 23 | |
| 4HXH_A | - | 1.00 | 1.00 | 1.00 | 6 | 89 | 0 | 0 | 0 | 0 | 0 |
Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.