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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNAwolf RSpredict(seed)
MCC 0.414 > 0.193
Average MCC ± 95% Confidence Intervals 0.434 ± 0.143 > 0.149 ± 0.159
Sensitivity 0.375 > 0.084
Positive Predictive Value 0.467 > 0.455
Total TP 134 > 30
Total TN 42621 < 42842
Total FP 167 > 37
Total FP CONTRA 16 > 2
Total FP INCONS 137 > 34
Total FP COMP 14 > 1
Total FN 223 < 327
P-value 1.27752322258e-08

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Performance plots


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

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

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Performance of RNAwolf - scored higher in this pairwise comparison

1. Total counts & total scores for RNAwolf

Total Base Pair Counts
Total TP 134
Total TN 42621
Total FP 167
Total FP CONTRA 16
Total FP INCONS 137
Total FP COMP 14
Total FN 223
Total Scores
MCC 0.414
Average MCC ± 95% Confidence Intervals 0.434 ± 0.143
Sensitivity 0.375
Positive Predictive Value 0.467
Nr of predictions 11

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.52 0.50 0.56 10 1522 8 0 8 0 10
3AMU_B 0.68 0.63 0.74 17 2980 9 0 6 3 10
3J16_L 0.45 0.40 0.52 12 2752 11 0 11 0 18
3RKF_A 0.72 0.62 0.84 21 2186 4 0 4 0 13
3SD1_A 0.46 0.43 0.50 18 3880 18 0 18 0 24
3UZL_B 0.72 0.59 0.88 22 3545 4 1 2 1 15
4A1C_3 0.23 0.20 0.28 11 7101 28 2 26 0 43
4A1C_2 0.08 0.09 0.08 3 11741 46 10 27 9 30
4AOB_A 0.23 0.19 0.30 8 4344 20 1 18 1 34
4ENB_A 0.35 0.32 0.40 6 1260 9 1 8 0 13
4ENC_A 0.34 0.32 0.38 6 1310 10 1 9 0 13

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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.