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

  1. Overview

  2. Performance Plots

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

  4. Performance of Vsfold4 - scored lower in this pairwise comparison

  5. Compile and download dataset for Multilign(20) & Vsfold4 [.zip] - may take several seconds...


Overview

Metric Multilign(20) Vsfold4
MCC 0.561 > 0.490
Average MCC ± 95% Confidence Intervals 0.556 ± 0.161 > 0.544 ± 0.146
Sensitivity 0.466 > 0.407
Positive Predictive Value 0.682 > 0.599
Total TP 242 > 211
Total TN 64967 < 64970
Total FP 123 < 160
Total FP CONTRA 10 > 7
Total FP INCONS 103 < 134
Total FP COMP 10 < 19
Total FN 277 < 308
P-value 2.36983135185e-08

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Performance plots


  1. Comparison of performance of Multilign(20) and Vsfold4. 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 Multilign(20) and Vsfold4).

  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 Multilign(20) and Vsfold4).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Multilign(20) and Vsfold4. 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 Multilign(20) and Vsfold4).

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

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

Total Base Pair Counts
Total TP 242
Total TN 64967
Total FP 123
Total FP CONTRA 10
Total FP INCONS 103
Total FP COMP 10
Total FN 277
Total Scores
MCC 0.561
Average MCC ± 95% Confidence Intervals 0.556 ± 0.161
Sensitivity 0.466
Positive Predictive Value 0.682
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.97 0.95 1.00 19 971 0 0 0 0 1
2XXA_G 0.00 0.00 0.00 0 5139 12 1 11 0 42
3AMU_B 0.63 0.56 0.71 15 2982 8 0 6 2 12
3J20_0 0.61 0.53 0.70 16 2827 8 1 6 1 14
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J2L_3 0.65 0.53 0.80 28 7840 9 0 7 2 25
3RKF_A 0.77 0.62 0.95 21 2189 1 0 1 0 13
3SD1_A 0.57 0.48 0.69 20 3887 9 1 8 0 22
3ZEX_D 0.75 0.65 0.86 32 6984 5 1 4 0 17
4A1C_3 0.70 0.59 0.84 32 7102 6 0 6 0 22
4A1C_2 0.15 0.15 0.15 5 11747 33 3 26 4 28
4AOB_A 0.49 0.38 0.64 16 4346 10 1 8 1 26
4ENB_A 0.34 0.26 0.45 5 1264 6 1 5 0 14
4ENC_A 0.65 0.47 0.90 9 1316 1 1 0 0 10
4FRG_B 0.12 0.09 0.17 3 3468 15 0 15 0 29

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Performance of Vsfold4 - scored lower in this pairwise comparison

1. Total counts & total scores for Vsfold4

Total Base Pair Counts
Total TP 211
Total TN 64970
Total FP 160
Total FP CONTRA 7
Total FP INCONS 134
Total FP COMP 19
Total FN 308
Total Scores
MCC 0.490
Average MCC ± 95% Confidence Intervals 0.544 ± 0.146
Sensitivity 0.407
Positive Predictive Value 0.599
Nr of predictions 15

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2. Individual counts for Vsfold4 [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.92 0.85 1.00 17 973 0 0 0 0 3
2XXA_G -0.01 0.00 0.00 0 5122 29 1 28 0 42
3AMU_B 0.64 0.56 0.75 15 2983 7 0 5 2 12
3J20_0 0.84 0.70 1.00 21 2829 1 0 0 1 9
3J20_1 0.71 0.70 0.73 16 2904 6 0 6 0 7
3J2L_3 0.57 0.45 0.73 24 7842 12 1 8 3 29
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.19 0.17 0.24 7 3887 22 1 21 0 35
3ZEX_D 0.55 0.45 0.69 22 6989 10 0 10 0 27
4A1C_3 0.26 0.22 0.32 12 7103 25 2 23 0 42
4A1C_2 0.28 0.24 0.33 8 11757 28 0 16 12 25
4AOB_A 0.42 0.33 0.54 14 4345 13 1 11 1 28
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.69 0.47 1.00 9 1317 0 0 0 0 10
4FRG_B 0.56 0.47 0.68 15 3464 7 1 6 0 17

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