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(20) - scored higher in this pairwise comparison

  4. Performance of PPfold(seed) - scored lower in this pairwise comparison

  5. Compile and download dataset for RNASampler(20) & PPfold(seed) [.zip] - may take several seconds...


Overview

Metric RNASampler(20) PPfold(seed)
MCC 0.729 > 0.046
Average MCC ± 95% Confidence Intervals 0.736 ± 0.131 > 0.018 ± 0.027
Sensitivity 0.655 > 0.009
Positive Predictive Value 0.819 > 0.273
Total TP 230 > 3
Total TN 27682 < 27952
Total FP 81 > 47
Total FP CONTRA 10 > 0
Total FP INCONS 41 > 8
Total FP COMP 30 < 39
Total FN 121 < 348
P-value 2.69132796717e-08

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Performance plots


  1. Comparison of performance of RNASampler(20) and PPfold(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(20) and PPfold(seed)).

  2. Comparison of performance of RNASampler(20) and PPfold(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(20) and PPfold(seed)).

  3. 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(20) and PPfold(seed)).

  4. 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(20) and PPfold(seed)).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASampler(20) and PPfold(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(20) and PPfold(seed)).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASampler(20) and PPfold(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(20) and PPfold(seed)).

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

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

Total Base Pair Counts
Total TP 230
Total TN 27682
Total FP 81
Total FP CONTRA 10
Total FP INCONS 41
Total FP COMP 30
Total FN 121
Total Scores
MCC 0.729
Average MCC ± 95% Confidence Intervals 0.736 ± 0.131
Sensitivity 0.655
Positive Predictive Value 0.819
Nr of predictions 14

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3AMU_B 0.95 0.95 0.95 18 1138 4 0 1 3 1
3J20_1 1.00 1.00 1.00 20 1092 1 0 0 1 0
3J20_0 0.90 0.90 0.90 19 1198 3 1 1 1 2
3J2L_3 0.56 0.50 0.63 17 2993 12 3 7 2 17
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.81 0.69 0.95 20 1512 1 0 1 0 9
3ZEX_C 0.35 0.31 0.39 9 5351 21 3 11 7 20
3ZEX_D 0.83 0.69 1.00 24 2772 1 0 0 1 11
4A1C_3 0.90 0.81 1.00 30 2733 0 0 0 0 7
4A1C_2 0.24 0.25 0.24 5 4495 30 3 13 14 15
4AOB_A 0.70 0.59 0.85 17 1417 4 0 3 1 12
4ENB_A 0.68 0.47 1.00 7 465 0 0 0 0 8
4ENC_A 0.85 0.73 1.00 11 485 0 0 0 0 4
4FRG_B 0.64 0.54 0.76 13 1185 4 0 4 0 11

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

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

Total Base Pair Counts
Total TP 3
Total TN 27952
Total FP 47
Total FP CONTRA 0
Total FP INCONS 8
Total FP COMP 39
Total FN 348
Total Scores
MCC 0.046
Average MCC ± 95% Confidence Intervals 0.018 ± 0.027
Sensitivity 0.009
Positive Predictive Value 0.273
Nr of predictions 14

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3AMU_B 0.00 0.00 0.00 0 1157 0 0 0 0 19
3J20_1 0.00 0.00 0.00 0 1112 0 0 0 0 20
3J20_0 0.00 0.00 0.00 0 1219 0 0 0 0 21
3J2L_3 0.00 0.00 0.00 0 3020 0 0 0 0 34
3RKF_A 0.00 0.00 0.00 0 866 0 0 0 0 24
3SD1_A 0.00 0.00 0.00 0 1533 0 0 0 0 29
3ZEX_C 0.15 0.07 0.33 2 5368 24 0 4 20 27
3ZEX_D 0.00 0.00 0.00 0 2796 0 0 0 0 35
4A1C_3 0.00 0.00 0.00 0 2763 0 0 0 0 37
4A1C_2 0.10 0.05 0.20 1 4511 23 0 4 19 19
4AOB_A 0.00 0.00 0.00 0 1437 0 0 0 0 29
4ENB_A 0.00 0.00 0.00 0 472 0 0 0 0 15
4ENC_A 0.00 0.00 0.00 0 496 0 0 0 0 15
4FRG_B 0.00 0.00 0.00 0 1202 0 0 0 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.