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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of RNAalifold(20) - scored higher in this pairwise comparison

  4. Performance of PknotsRG - scored lower in this pairwise comparison

  5. Compile and download dataset for RNAalifold(20) & PknotsRG [.zip] - may take several seconds...


Overview

Metric RNAalifold(20) PknotsRG
MCC 0.790 > 0.687
Average MCC ± 95% Confidence Intervals 0.783 ± 0.071 > 0.716 ± 0.092
Sensitivity 0.704 < 0.709
Positive Predictive Value 0.891 > 0.673
Total TP 631 < 635
Total TN 92154 > 91918
Total FP 174 < 479
Total FP CONTRA 24 < 86
Total FP INCONS 53 < 223
Total FP COMP 97 < 170
Total FN 265 > 261
P-value 3.56938820447e-08

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Performance plots


  1. Comparison of performance of RNAalifold(20) and PknotsRG. 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 RNAalifold(20) and PknotsRG).

  2. Comparison of performance of RNAalifold(20) and PknotsRG. 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 RNAalifold(20) and PknotsRG).

  3. 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 RNAalifold(20) and PknotsRG).

  4. 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 RNAalifold(20) and PknotsRG).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAalifold(20) and PknotsRG. 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 RNAalifold(20) and PknotsRG).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAalifold(20) and PknotsRG. 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 RNAalifold(20) and PknotsRG).

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Performance of RNAalifold(20) - scored higher in this pairwise comparison

1. Total counts & total scores for RNAalifold(20)

Total Base Pair Counts
Total TP 631
Total TN 92154
Total FP 174
Total FP CONTRA 24
Total FP INCONS 53
Total FP COMP 97
Total FN 265
Total Scores
MCC 0.790
Average MCC ± 95% Confidence Intervals 0.783 ± 0.071
Sensitivity 0.704
Positive Predictive Value 0.891
Nr of predictions 34

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2. Individual counts for RNAalifold(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.62 0.40 1.00 4 170 0 0 0 0 6
2L94_A 0.51 0.50 0.56 9 341 8 0 7 1 9
2WRQ_Y 1.00 1.00 1.00 9 1143 12 0 0 12 0
2XKV_B 0.60 0.36 1.00 4 1831 3 0 0 3 7
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.44 0.20 1.00 7 2038 0 0 0 0 28
3A2K_C 0.98 0.95 1.00 21 1087 0 0 0 0 1
3AMU_B 1.00 1.00 1.00 19 1138 2 0 0 2 0
3G4S_9 0.96 0.92 1.00 24 2712 7 0 0 7 2
3GX2_A 0.92 0.86 1.00 24 1425 1 0 0 1 4
3IVN_B 0.86 0.78 0.95 18 884 1 1 0 0 5
3IZ4_A 0.65 0.48 0.87 46 25483 15 4 3 8 49
3IZF_C 0.90 0.89 0.91 31 2606 6 0 3 3 4
3J20_0 0.95 0.95 0.95 20 1198 1 1 0 0 1
3J20_1 1.00 1.00 1.00 20 1092 1 0 0 1 0
3J2L_3 0.86 0.74 1.00 25 2995 2 0 0 2 9
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3JYX_4 0.77 0.83 0.71 10 4742 15 3 1 11 2
3JYX_3 0.76 0.73 0.79 11 2364 20 0 3 17 4
3LA5_A 0.87 0.76 1.00 19 935 0 0 0 0 6
3NPB_A 0.75 0.57 1.00 21 2257 4 0 0 4 16
3O58_2 0.97 0.94 1.00 29 2725 7 0 0 7 2
3O58_3 0.42 0.36 0.50 8 4748 9 3 5 1 14
3PDR_A 0.92 0.88 0.96 44 4794 3 1 1 1 6
3RKF_A 0.81 0.71 0.94 17 848 1 0 1 0 7
3SD1_A 0.84 0.86 0.83 25 1503 5 4 1 0 4
3ZEX_C 0.46 0.41 0.52 12 5351 16 2 9 5 17
3ZEX_D 0.91 0.89 0.94 31 2763 6 0 2 4 4
4A1C_3 0.90 0.84 0.97 31 2731 1 0 1 0 6
4A1C_2 0.22 0.25 0.19 5 4490 23 5 16 2 15
4AOB_A 0.85 0.72 1.00 21 1416 2 0 0 2 8
4ENB_A 0.51 0.27 1.00 4 468 0 0 0 0 11
4ENC_A 0.63 0.40 1.00 6 490 0 0 0 0 9
4FRG_B 0.84 0.71 1.00 17 1185 0 0 0 0 7

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Performance of PknotsRG - scored lower in this pairwise comparison

1. Total counts & total scores for PknotsRG

Total Base Pair Counts
Total TP 635
Total TN 91918
Total FP 479
Total FP CONTRA 86
Total FP INCONS 223
Total FP COMP 170
Total FN 261
Total Scores
MCC 0.687
Average MCC ± 95% Confidence Intervals 0.716 ± 0.092
Sensitivity 0.709
Positive Predictive Value 0.673
Nr of predictions 34

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2. Individual counts for PknotsRG [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 1.00 1.00 1.00 10 164 0 0 0 0 0
2L94_A 1.00 1.00 1.00 18 339 1 0 0 1 0
2WRQ_Y 0.94 0.89 1.00 8 1144 14 0 0 14 1
2XKV_B 0.64 0.73 0.57 8 1821 24 0 6 18 3
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.35 0.34 0.38 12 2013 21 1 19 1 23
3A2K_C 0.47 0.50 0.46 11 1084 13 3 10 0 11
3AMU_B 0.81 0.79 0.83 15 1139 6 0 3 3 4
3G4S_9 0.83 0.85 0.81 22 2709 12 2 3 7 4
3GX2_A 0.80 0.79 0.81 22 1422 6 2 3 1 6
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.56 0.60 0.52 57 25426 57 25 28 4 38
3IZF_C 0.75 0.77 0.73 27 2603 15 0 10 5 8
3J20_0 0.51 0.57 0.48 12 1194 14 3 10 1 9
3J20_1 1.00 1.00 1.00 20 1092 1 0 0 1 0
3J2L_3 0.80 0.82 0.78 28 2984 12 1 7 4 6
3JYV_7 -0.02 0.00 0.00 0 1089 22 4 18 0 20
3JYX_4 0.61 0.83 0.45 10 4734 33 10 2 21 2
3JYX_3 0.77 0.80 0.75 12 2362 27 0 4 23 3
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.93 0.86 1.00 32 2246 4 0 0 4 5
3O58_2 0.72 0.74 0.70 23 2721 19 0 10 9 8
3O58_3 0.41 0.50 0.34 11 4732 35 6 15 14 11
3PDR_A 0.90 0.90 0.90 45 4790 7 2 3 2 5
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.73 0.72 0.75 21 1505 7 4 3 0 8
3ZEX_C 0.30 0.34 0.26 10 5336 44 5 23 16 19
3ZEX_D 0.88 0.83 0.94 29 2765 6 0 2 4 6
4A1C_3 0.85 0.84 0.86 31 2727 8 0 5 3 6
4A1C_2 0.18 0.25 0.14 5 4480 43 11 20 12 15
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ENB_A 1.00 1.00 1.00 15 457 0 0 0 0 0
4ENC_A 0.97 1.00 0.94 15 480 1 1 0 0 0
4FRG_B 0.36 0.38 0.38 9 1178 15 2 13 0 15

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Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.