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 0.689 > 0.546
Average MCC ± 95% Confidence Intervals 0.694 ± 0.122 > 0.475 ± 0.167
Sensitivity 0.602 > 0.406
Positive Predictive Value 0.795 > 0.744
Total TP 280 > 189
Total TN 39337 < 39435
Total FP 117 > 75
Total FP CONTRA 27 > 10
Total FP INCONS 45 < 55
Total FP COMP 45 > 10
Total FN 185 < 276
P-value 4.98172311752e-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 280
Total TN 39337
Total FP 117
Total FP CONTRA 27
Total FP INCONS 45
Total FP COMP 45
Total FN 185
Total Scores
MCC 0.689
Average MCC ± 95% Confidence Intervals 0.694 ± 0.122
Sensitivity 0.602
Positive Predictive Value 0.795
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 1.00 1.00 1.00 10 164 0 0 0 0 0
2KE6_A 0.94 0.89 1.00 16 451 1 0 0 1 2
2KUR_A 0.94 0.89 1.00 17 450 0 0 0 0 2
2KUU_A 0.94 0.89 1.00 16 431 1 0 0 1 2
2KUV_A 0.94 0.89 1.00 17 422 0 0 0 0 2
2KUW_A 0.94 0.89 1.00 16 454 1 0 0 1 2
2L1F_B 0.84 0.71 1.00 17 774 0 0 0 0 7
2L1F_A 0.83 0.70 1.00 16 747 0 0 0 0 7
2L94_A 0.70 0.56 0.91 10 346 2 0 1 1 8
2LC8_A -0.03 0.00 0.00 0 518 10 0 10 0 18
3A3A_A 0.77 0.60 1.00 18 1482 0 0 0 0 12
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3J3E_8 0.18 0.20 0.18 3 2725 22 5 9 8 12
3J3F_8 0.47 0.47 0.47 9 4742 18 5 5 8 10
3JYX_4 0.70 0.83 0.59 10 4739 13 6 1 6 2
3O58_3 0.54 0.50 0.58 11 4745 13 5 3 5 11
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.72 0.55 0.94 16 1516 1 0 1 0 13
3W3S_B 0.60 0.36 1.00 12 1977 1 0 0 1 21
3ZEX_C 0.39 0.31 0.50 9 5356 14 2 7 5 20
4A1C_2 0.40 0.40 0.40 8 4496 20 4 8 8 12
4JF2_A 0.64 0.42 1.00 10 1072 0 0 0 0 14

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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 189
Total TN 39435
Total FP 75
Total FP CONTRA 10
Total FP INCONS 55
Total FP COMP 10
Total FN 276
Total Scores
MCC 0.546
Average MCC ± 95% Confidence Intervals 0.475 ± 0.167
Sensitivity 0.406
Positive Predictive Value 0.744
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 0.89 0.80 1.00 8 166 0 0 0 0 2
2KE6_A 0.85 0.78 0.93 14 452 2 0 1 1 4
2KUR_A 0.86 0.79 0.94 15 451 1 0 1 0 4
2KUU_A 0.85 0.78 0.93 14 432 2 0 1 1 4
2KUV_A 0.85 0.79 0.94 15 423 1 0 1 0 4
2KUW_A 0.75 0.67 0.86 12 456 3 0 2 1 6
2L1F_B 0.87 0.83 0.91 20 769 2 0 2 0 4
2L1F_A 0.81 0.78 0.86 18 742 3 0 3 0 5
2L94_A 0.55 0.50 0.64 9 343 6 0 5 1 9
2LC8_A -0.03 0.00 0.00 0 515 13 0 13 0 18
3A3A_A 0.53 0.37 0.79 11 1486 3 0 3 0 19
3IVN_B 0.81 0.70 0.94 16 886 1 1 0 0 7
3J3E_8 0.00 0.00 0.00 0 2742 0 0 0 0 15
3J3F_8 0.19 0.11 0.33 2 4755 5 3 1 1 17
3JYX_4 0.00 0.00 0.00 0 4754 5 0 2 3 12
3O58_3 0.28 0.14 0.60 3 4759 2 0 2 0 19
3RKF_A 0.84 0.75 0.95 18 847 1 1 0 0 6
3SD1_A 0.00 0.00 0.00 0 1533 0 0 0 0 29
3W3S_B 0.45 0.36 0.57 12 1968 10 1 8 1 21
3ZEX_C 0.13 0.07 0.25 2 5366 6 2 4 0 27
4A1C_2 0.00 0.00 0.00 0 4512 5 2 2 1 20
4JF2_A -0.01 0.00 0.00 0 1078 4 0 4 0 24

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