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 RSpredict(seed) - scored lower in this pairwise comparison

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


Overview

Metric RNASampler(seed) RSpredict(seed)
MCC 0.594 > 0.467
Average MCC ± 95% Confidence Intervals 0.624 ± 0.122 > 0.443 ± 0.158
Sensitivity 0.448 > 0.298
Positive Predictive Value 0.793 > 0.737
Total TP 287 > 191
Total TN 102545 < 102648
Total FP 110 > 73
Total FP CONTRA 8 > 4
Total FP INCONS 67 > 64
Total FP COMP 35 > 5
Total FN 354 < 450
P-value 5.19332990918e-08

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Performance plots


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

  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 RSpredict(seed)).

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

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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 287
Total TN 102545
Total FP 110
Total FP CONTRA 8
Total FP INCONS 67
Total FP COMP 35
Total FN 354
Total Scores
MCC 0.594
Average MCC ± 95% Confidence Intervals 0.624 ± 0.122
Sensitivity 0.448
Positive Predictive Value 0.793
Nr of predictions 22

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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_B 0.82 0.68 1.00 17 2128 0 0 0 0 8
2L1F_A 0.81 0.67 1.00 16 2064 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
3J3E_8 0.12 0.09 0.17 3 7485 22 2 13 7 30
3J3F_8 0.44 0.33 0.57 12 12225 15 1 8 6 24
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
3ZEX_C 0.32 0.19 0.53 10 14177 13 1 8 4 42
4A1C_2 0.31 0.24 0.40 8 11761 20 0 12 8 25
4JF2_A 0.57 0.32 1.00 10 2840 0 0 0 0 21

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

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

Total Base Pair Counts
Total TP 191
Total TN 102648
Total FP 73
Total FP CONTRA 4
Total FP INCONS 64
Total FP COMP 5
Total FN 450
Total Scores
MCC 0.467
Average MCC ± 95% Confidence Intervals 0.443 ± 0.158
Sensitivity 0.298
Positive Predictive Value 0.737
Nr of predictions 22

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.85 0.73 1.00 8 398 0 0 0 0 3
2KE6_A 0.83 0.74 0.93 14 1113 2 0 1 1 5
2KUR_A 0.82 0.71 0.94 15 1112 1 0 1 0 6
2KUU_A 0.79 0.67 0.93 14 1113 2 0 1 1 7
2KUV_A 0.80 0.68 0.94 15 1112 1 0 1 0 7
2KUW_A 0.73 0.62 0.87 13 1113 2 0 2 0 8
2L1F_B 0.85 0.80 0.91 20 2123 2 0 2 0 5
2L1F_A 0.80 0.75 0.86 18 2059 3 0 3 0 6
2L94_A 0.57 0.50 0.67 10 975 5 0 5 0 10
2LC8_A -0.01 0.00 0.00 0 1527 13 0 13 0 20
3A3A_A 0.48 0.30 0.79 11 3641 3 0 3 0 26
3IVN_B 0.69 0.52 0.94 16 2329 1 0 1 0 15
3J3E_8 0.00 0.00 0.00 0 7503 0 0 0 0 33
3J3F_8 0.14 0.06 0.33 2 12240 5 1 3 1 34
3JYX_4 0.00 0.00 0.00 0 12241 5 0 5 0 33
3O58_3 0.23 0.09 0.60 3 12398 2 0 2 0 32
3RKF_A 0.71 0.53 0.95 18 2192 1 0 1 0 16
3SD1_A 0.00 0.00 0.00 0 3916 0 0 0 0 42
3W3S_B 0.41 0.30 0.57 12 4732 10 1 8 1 28
3ZEX_C 0.10 0.04 0.25 2 14188 6 1 5 0 50
4A1C_2 0.00 0.00 0.00 0 11777 5 1 3 1 33
4JF2_A 0.00 0.00 0.00 0 2846 4 0 4 0 31

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