CompaRNA - on-line benchmarks of RNA structure prediction methods
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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of RNASLOpt - scored higher in this pairwise comparison

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

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


Overview

Metric RNASLOpt PPfold(seed)
MCC 0.617 > 0.102
Average MCC ± 95% Confidence Intervals 0.624 ± 0.130 > 0.046 ± 0.067
Sensitivity 0.587 > 0.023
Positive Predictive Value 0.657 > 0.474
Total TP 232 > 9
Total TN 30871 < 31205
Total FP 159 > 49
Total FP CONTRA 38 > 0
Total FP INCONS 83 > 10
Total FP COMP 38 < 39
Total FN 163 < 386
P-value 3.21671975982e-08

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Performance plots


  1. Comparison of performance of RNASLOpt 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 RNASLOpt and PPfold(seed)).

  2. Comparison of performance of RNASLOpt 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 RNASLOpt 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 RNASLOpt 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 RNASLOpt and PPfold(seed)).

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

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

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Performance of RNASLOpt - scored higher in this pairwise comparison

1. Total counts & total scores for RNASLOpt

Total Base Pair Counts
Total TP 232
Total TN 30871
Total FP 159
Total FP CONTRA 38
Total FP INCONS 83
Total FP COMP 38
Total FN 163
Total Scores
MCC 0.617
Average MCC ± 95% Confidence Intervals 0.624 ± 0.130
Sensitivity 0.587
Positive Predictive Value 0.657
Nr of predictions 16

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2. Individual counts for RNASLOpt [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.48 0.39 0.64 7 517 4 0 4 0 11
3J16_L 0.63 0.57 0.71 12 1142 5 0 5 0 9
3J20_1 1.00 1.00 1.00 20 1092 1 0 0 1 0
3J20_0 0.74 0.76 0.73 16 1197 7 3 3 1 5
3J2L_3 0.71 0.68 0.74 23 2989 11 0 8 3 11
3UZL_B 0.55 0.50 0.62 8 1280 9 1 4 4 8
3W3S_B 0.90 0.85 0.97 28 1960 2 0 1 1 5
3ZEX_C 0.32 0.34 0.31 10 5342 36 8 14 14 19
3ZEX_D 0.86 0.74 1.00 26 2770 4 0 0 4 9
4A1C_3 0.79 0.73 0.87 27 2732 5 0 4 1 10
4A1C_2 0.30 0.40 0.24 8 4482 35 13 13 9 12
4AOB_A 0.31 0.28 0.38 8 1416 13 3 10 0 21
4ENB_A 0.85 0.73 1.00 11 461 0 0 0 0 4
4ENC_A 0.73 0.60 0.90 9 486 1 1 0 0 6
4FRG_B 0.60 0.58 0.64 14 1180 8 3 5 0 10
4FRN_A 0.19 0.18 0.22 5 1825 18 6 12 0 23

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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 9
Total TN 31205
Total FP 49
Total FP CONTRA 0
Total FP INCONS 10
Total FP COMP 39
Total FN 386
Total Scores
MCC 0.102
Average MCC ± 95% Confidence Intervals 0.046 ± 0.067
Sensitivity 0.023
Positive Predictive Value 0.474
Nr of predictions 16

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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
2LC8_A 0.49 0.33 0.75 6 520 2 0 2 0 12
3J16_L 0.00 0.00 0.00 0 1159 0 0 0 0 21
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
3UZL_B 0.00 0.00 0.00 0 1293 0 0 0 0 16
3W3S_B 0.00 0.00 0.00 0 1989 0 0 0 0 33
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
4FRN_A 0.00 0.00 0.00 0 1848 0 0 0 0 28

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