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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric IPknot RSpredict(seed)
MCC 0.590 > 0.193
Average MCC ± 95% Confidence Intervals 0.592 ± 0.130 > 0.149 ± 0.159
Sensitivity 0.471 > 0.084
Positive Predictive Value 0.747 > 0.455
Total TP 168 > 30
Total TN 42683 < 42842
Total FP 65 > 37
Total FP CONTRA 7 > 2
Total FP INCONS 50 > 34
Total FP COMP 8 > 1
Total FN 189 < 327
P-value 1.25253056981e-08

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Performance plots


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

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

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Performance of IPknot - scored higher in this pairwise comparison

1. Total counts & total scores for IPknot

Total Base Pair Counts
Total TP 168
Total TN 42683
Total FP 65
Total FP CONTRA 7
Total FP INCONS 50
Total FP COMP 8
Total FN 189
Total Scores
MCC 0.590
Average MCC ± 95% Confidence Intervals 0.592 ± 0.130
Sensitivity 0.471
Positive Predictive Value 0.747
Nr of predictions 11

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.40 0.30 0.55 6 1529 5 1 4 0 14
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3J16_L 0.75 0.57 1.00 17 2758 0 0 0 0 13
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.61 0.48 0.80 20 3891 5 0 5 0 22
3UZL_B 0.72 0.54 0.95 20 3549 1 0 1 0 17
4A1C_3 0.69 0.57 0.84 31 7103 6 1 5 0 23
4A1C_2 0.17 0.15 0.19 5 11755 26 4 17 5 28
4AOB_A 0.42 0.33 0.54 14 4345 13 1 11 1 28
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.52 0.42 0.67 8 1314 4 0 4 0 11

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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 30
Total TN 42842
Total FP 37
Total FP CONTRA 2
Total FP INCONS 34
Total FP COMP 1
Total FN 327
Total Scores
MCC 0.193
Average MCC ± 95% Confidence Intervals 0.149 ± 0.159
Sensitivity 0.084
Positive Predictive Value 0.455
Nr of predictions 11

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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
2LC8_A -0.01 0.00 0.00 0 1527 13 0 13 0 20
3AMU_B 0.00 0.00 0.00 0 3001 2 0 2 0 27
3J16_L 0.00 0.00 0.00 0 2774 1 0 1 0 30
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
3UZL_B 0.00 0.00 0.00 0 3564 6 0 6 0 37
4A1C_3 0.00 0.00 0.00 0 7136 4 1 3 0 54
4A1C_2 0.00 0.00 0.00 0 11777 5 1 3 1 33
4AOB_A 0.35 0.14 0.86 6 4364 1 0 1 0 36
4ENB_A 0.30 0.16 0.60 3 1270 2 0 2 0 16
4ENC_A 0.30 0.16 0.60 3 1321 2 0 2 0 16

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