CompaRNA - on-line benchmarks of RNA structure prediction methods
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Table of contents:

  1. Overview

  2. Performance Plots

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

  4. Performance of RSpredict(20) - scored lower in this pairwise comparison

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


Overview

Metric RNASampler(20) RSpredict(20)
MCC 0.766 > 0.663
Average MCC ± 95% Confidence Intervals 0.789 ± 0.081 > 0.653 ± 0.116
Sensitivity 0.676 > 0.593
Positive Predictive Value 0.872 > 0.748
Total TP 478 > 419
Total TN 74855 > 74843
Total FP 163 < 230
Total FP CONTRA 34 < 61
Total FP INCONS 36 < 80
Total FP COMP 93 > 89
Total FN 229 < 288
P-value 5.10776592382e-08

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Performance plots


  1. Comparison of performance of RNASampler(20) and RSpredict(20). 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 RNASampler(20) and RSpredict(20)).

  2. 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 RNASampler(20) and RSpredict(20)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASampler(20) and RSpredict(20). 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 RNASampler(20) and RSpredict(20)).

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

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

Total Base Pair Counts
Total TP 478
Total TN 74855
Total FP 163
Total FP CONTRA 34
Total FP INCONS 36
Total FP COMP 93
Total FN 229
Total Scores
MCC 0.766
Average MCC ± 95% Confidence Intervals 0.789 ± 0.081
Sensitivity 0.676
Positive Predictive Value 0.872
Nr of predictions 27

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2. Individual counts for RNASampler(20) [ 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 0.94 0.94 0.94 17 339 2 0 1 1 1
2WRQ_Y 1.00 1.00 1.00 9 1143 14 0 0 14 0
2XKV_B 0.60 0.36 1.00 4 1831 2 0 0 2 7
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.34 0.11 1.00 4 2041 0 0 0 0 31
3A2K_C 0.98 0.95 1.00 21 1087 0 0 0 0 1
3AMU_B 0.95 0.95 0.95 18 1138 4 0 1 3 1
3GX2_A 0.88 0.79 1.00 22 1427 1 0 0 1 6
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.52 0.41 0.65 39 25476 26 15 6 5 56
3IZF_C 0.92 0.86 1.00 30 2610 2 0 0 2 5
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3JYX_3 0.70 0.60 0.82 9 2367 14 0 2 12 6
3JYX_4 0.61 0.83 0.45 10 4734 26 10 2 14 2
3LA5_A 0.89 0.80 1.00 20 934 0 0 0 0 5
3NPB_A 0.75 0.57 1.00 21 2257 5 0 0 5 16
3O58_2 0.93 0.87 1.00 27 2727 5 0 0 5 4
3O58_3 0.51 0.50 0.52 11 4743 19 5 5 9 11
3PDR_A 0.84 0.76 0.93 38 4799 5 1 2 2 12
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.81 0.69 0.95 20 1512 1 0 1 0 9
4A1C_2 0.24 0.25 0.24 5 4495 30 3 13 14 15
4A1C_3 0.90 0.81 1.00 30 2733 0 0 0 0 7
4AOB_A 0.70 0.59 0.85 17 1417 4 0 3 1 12
4ENB_A 0.68 0.47 1.00 7 465 0 0 0 0 8
4ENC_A 0.85 0.73 1.00 11 485 0 0 0 0 4

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Performance of RSpredict(20) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 419
Total TN 74843
Total FP 230
Total FP CONTRA 61
Total FP INCONS 80
Total FP COMP 89
Total FN 288
Total Scores
MCC 0.663
Average MCC ± 95% Confidence Intervals 0.653 ± 0.116
Sensitivity 0.593
Positive Predictive Value 0.748
Nr of predictions 27

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.89 0.80 1.00 8 166 0 0 0 0 2
2L94_A 0.53 0.50 0.60 9 342 7 0 6 1 9
2WRQ_Y 1.00 1.00 1.00 9 1143 12 0 0 12 0
2XKV_B 0.00 0.00 0.00 0 1831 4 1 3 0 11
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.50 0.26 1.00 9 2036 0 0 0 0 26
3A2K_C 0.88 0.86 0.90 19 1087 2 0 2 0 3
3AMU_B 0.69 0.53 0.91 10 1146 2 0 1 1 9
3GX2_A 0.40 0.21 0.75 6 1441 2 1 1 0 22
3IVN_B 0.91 0.87 0.95 20 882 1 1 0 0 3
3IZ4_A 0.61 0.57 0.67 54 25455 38 13 14 11 41
3IZF_C 0.94 0.91 0.97 32 2607 4 0 1 3 3
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3JYX_3 0.80 0.80 0.80 12 2363 16 0 3 13 3
3JYX_4 0.59 0.75 0.47 9 4737 33 9 1 23 3
3LA5_A 0.89 0.80 1.00 20 934 0 0 0 0 5
3NPB_A -0.01 0.00 0.00 0 2272 6 1 5 0 37
3O58_2 0.93 0.94 0.94 29 2723 10 0 2 8 2
3O58_3 0.38 0.50 0.30 11 4727 29 15 11 3 11
3PDR_A 0.80 0.70 0.92 35 4802 5 1 2 2 15
3RKF_A 0.91 0.88 0.95 21 844 1 1 0 0 3
3SD1_A 0.82 0.86 0.78 25 1501 7 5 2 0 4
4A1C_2 0.25 0.30 0.21 6 4487 30 12 11 7 14
4A1C_3 0.60 0.49 0.75 18 2739 8 0 6 2 19
4AOB_A 0.33 0.21 0.55 6 1426 5 1 4 0 23
4ENB_A 0.54 0.40 0.75 6 464 2 0 2 0 9
4ENC_A 0.51 0.40 0.67 6 487 3 0 3 0 9

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