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 RSpredict(20) - scored lower in this pairwise comparison

  5. Compile and download dataset for RNASLOpt & RSpredict(20) [.zip] - may take several seconds...


Overview

Metric RNASLOpt RSpredict(20)
MCC 0.480 > 0.419
Average MCC ± 95% Confidence Intervals 0.514 ± 0.210 > 0.428 ± 0.198
Sensitivity 0.500 > 0.388
Positive Predictive Value 0.470 > 0.462
Total TP 103 > 80
Total TN 22968 < 23014
Total FP 171 > 117
Total FP CONTRA 50 > 35
Total FP INCONS 66 > 58
Total FP COMP 55 > 24
Total FN 103 < 126
P-value 6.70002765408e-09

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Performance plots


  1. Comparison of performance of RNASLOpt and RSpredict(20). 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 RSpredict(20)).

  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 RNASLOpt and RSpredict(20)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASLOpt and RSpredict(20). 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 RSpredict(20)).

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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 103
Total TN 22968
Total FP 171
Total FP CONTRA 50
Total FP INCONS 66
Total FP COMP 55
Total FN 103
Total Scores
MCC 0.480
Average MCC ± 95% Confidence Intervals 0.514 ± 0.210
Sensitivity 0.500
Positive Predictive Value 0.470
Nr of predictions 10

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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
3J20_0 0.74 0.76 0.73 16 1197 7 3 3 1 5
3J3D_C 0.90 0.95 0.86 18 947 3 3 0 0 1
3J3E_8 -0.01 0.00 0.00 0 2724 30 6 12 12 15
3J3F_8 0.39 0.47 0.32 9 4733 38 10 9 19 10
3ZEX_C 0.32 0.34 0.31 10 5342 36 8 14 14 19
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

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Performance of RSpredict(20) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 80
Total TN 23014
Total FP 117
Total FP CONTRA 35
Total FP INCONS 58
Total FP COMP 24
Total FN 126
Total Scores
MCC 0.419
Average MCC ± 95% Confidence Intervals 0.428 ± 0.198
Sensitivity 0.388
Positive Predictive Value 0.462
Nr of predictions 10

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3J20_0 0.90 0.90 0.90 19 1198 3 1 1 1 2
3J3D_C 0.82 0.84 0.80 16 948 4 3 1 0 3
3J3E_8 -0.01 0.00 0.00 0 2724 19 5 13 1 15
3J3F_8 0.42 0.47 0.38 9 4737 26 9 6 11 10
3ZEX_C 0.34 0.31 0.38 9 5350 19 3 12 4 20
4A1C_2 0.25 0.30 0.21 6 4487 30 12 11 7 14
4AOB_A 0.33 0.21 0.55 6 1426 5 1 4 0 23
4ENB_A 0.54 0.40 0.75 6 464 2 0 2 0 9
4ENC_A 0.51 0.40 0.67 6 487 3 0 3 0 9
4FRG_B 0.19 0.13 0.33 3 1193 6 1 5 0 21

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