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 RNAsubopt - scored lower in this pairwise comparison

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


Overview

Metric RNASampler(seed) RNAsubopt
MCC 0.635 > 0.616
Average MCC ± 95% Confidence Intervals 0.663 ± 0.127 < 0.675 ± 0.155
Sensitivity 0.484 < 0.571
Positive Predictive Value 0.837 > 0.670
Total TP 262 < 309
Total TN 79995 > 79847
Total FP 73 < 192
Total FP CONTRA 5 < 22
Total FP INCONS 46 < 130
Total FP COMP 22 < 40
Total FN 279 > 232
P-value 4.41690547646e-08

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Performance plots


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

  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 RNAsubopt).

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

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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 262
Total TN 79995
Total FP 73
Total FP CONTRA 5
Total FP INCONS 46
Total FP COMP 22
Total FN 279
Total Scores
MCC 0.635
Average MCC ± 95% Confidence Intervals 0.663 ± 0.127
Sensitivity 0.484
Positive Predictive Value 0.837
Nr of predictions 19

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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
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

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Performance of RNAsubopt - scored lower in this pairwise comparison

1. Total counts & total scores for RNAsubopt

Total Base Pair Counts
Total TP 309
Total TN 79847
Total FP 192
Total FP CONTRA 22
Total FP INCONS 130
Total FP COMP 40
Total FN 232
Total Scores
MCC 0.616
Average MCC ± 95% Confidence Intervals 0.675 ± 0.155
Sensitivity 0.571
Positive Predictive Value 0.670
Nr of predictions 19

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2. Individual counts for RNAsubopt [ 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 0.86 0.84 0.89 16 1110 3 0 2 1 3
2KUR_A 0.85 0.81 0.89 17 1109 2 0 2 0 4
2KUU_A 0.82 0.76 0.89 16 1110 3 0 2 1 5
2KUV_A 0.83 0.77 0.89 17 1109 2 0 2 0 5
2KUW_A 0.90 0.86 0.95 18 1109 1 0 1 0 3
2L1F_A 0.93 0.88 1.00 21 2059 0 0 0 0 3
2L1F_B 0.94 0.88 1.00 22 2123 0 0 0 0 3
2L94_A 0.97 0.95 1.00 19 971 0 0 0 0 1
2LC8_A -0.01 0.00 0.00 0 1525 15 2 13 0 20
3A3A_A 0.87 0.76 1.00 28 3627 0 0 0 0 9
3IVN_B 0.76 0.58 1.00 18 2328 0 0 0 0 13
3JYX_4 0.19 0.21 0.17 7 12204 38 11 24 3 26
3O58_3 0.34 0.34 0.34 12 12368 34 2 21 11 23
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.61 0.50 0.75 21 3888 7 1 6 0 21
3W3S_B 0.87 0.78 0.97 31 4721 2 0 1 1 9
3ZEX_C 0.24 0.21 0.28 11 14157 42 1 27 14 41
4A1C_2 0.14 0.15 0.13 5 11742 43 5 29 9 28

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