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(seed) - scored higher in this pairwise comparison

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

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


Overview

Metric RNASampler(seed) Vsfold4
MCC 0.663 > 0.602
Average MCC ± 95% Confidence Intervals 0.682 ± 0.128 > 0.648 ± 0.174
Sensitivity 0.515 < 0.526
Positive Predictive Value 0.857 > 0.695
Total TP 252 < 257
Total TN 65818 > 65742
Total FP 60 < 146
Total FP CONTRA 4 < 8
Total FP INCONS 38 < 105
Total FP COMP 18 < 33
Total FN 237 > 232
P-value 7.21563533328e-09

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Performance plots


  1. Comparison of performance of RNASampler(seed) 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 RNASampler(seed) 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 RNASampler(seed) and Vsfold4).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASampler(seed) 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 RNASampler(seed) and Vsfold4).

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

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

Total Base Pair Counts
Total TP 252
Total TN 65818
Total FP 60
Total FP CONTRA 4
Total FP INCONS 38
Total FP COMP 18
Total FN 237
Total Scores
MCC 0.663
Average MCC ± 95% Confidence Intervals 0.682 ± 0.128
Sensitivity 0.515
Positive Predictive Value 0.857
Nr of predictions 18

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2. Individual counts for RNASampler(seed) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.95 0.91 1.00 10 396 0 0 0 0 1
2KE6_A 0.92 0.84 1.00 16 1112 1 0 0 1 3
2KUR_A 0.90 0.81 1.00 17 1111 0 0 0 0 4
2KUU_A 0.87 0.76 1.00 16 1112 1 0 0 1 5
2KUV_A 0.88 0.77 1.00 17 1111 0 0 0 0 5
2KUW_A 0.90 0.81 1.00 17 1111 0 0 0 0 4
2L1F_A 0.81 0.67 1.00 16 2064 0 0 0 0 8
2L1F_B 0.82 0.68 1.00 17 2128 0 0 0 0 8
2L94_A 0.71 0.55 0.92 11 978 1 0 1 0 9
2LC8_A -0.01 0.00 0.00 0 1530 10 0 10 0 20
3A3A_A 0.70 0.49 1.00 18 3637 0 0 0 0 19
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3JYX_4 0.39 0.30 0.50 10 12226 13 2 8 3 23
3O58_3 0.45 0.34 0.60 12 12383 12 2 6 4 23
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.60 0.38 0.94 16 3899 1 0 1 0 26
3W3S_B 0.55 0.30 1.00 12 4741 1 0 0 1 28
4A1C_2 0.31 0.24 0.40 8 11761 20 0 12 8 25

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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 257
Total TN 65742
Total FP 146
Total FP CONTRA 8
Total FP INCONS 105
Total FP COMP 33
Total FN 232
Total Scores
MCC 0.602
Average MCC ± 95% Confidence Intervals 0.648 ± 0.174
Sensitivity 0.526
Positive Predictive Value 0.695
Nr of predictions 18

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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
2KDQ_B 0.95 0.91 1.00 10 396 0 0 0 0 1
2KE6_A 0.97 0.95 1.00 18 1110 1 0 0 1 1
2KUR_A 0.95 0.90 1.00 19 1109 0 0 0 0 2
2KUU_A 0.92 0.86 1.00 18 1110 1 0 0 1 3
2KUV_A 0.93 0.86 1.00 19 1109 0 0 0 0 3
2KUW_A 0.95 0.90 1.00 19 1109 0 0 0 0 2
2L1F_A 0.66 0.54 0.81 13 2064 3 0 3 0 11
2L1F_B 0.68 0.56 0.82 14 2128 3 0 3 0 11
2L94_A 0.92 0.85 1.00 17 973 0 0 0 0 3
2LC8_A -0.01 0.00 0.00 0 1527 13 0 13 0 20
3A3A_A 0.85 0.73 1.00 27 3628 0 0 0 0 10
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3JYX_4 0.10 0.09 0.12 3 12220 33 2 21 10 30
3O58_3 0.09 0.09 0.10 3 12373 35 5 22 8 32
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
3W3S_B 0.67 0.58 0.79 23 4724 7 0 6 1 17
4A1C_2 0.28 0.24 0.33 8 11757 28 0 16 12 25

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