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

  1. Overview

  2. Performance Plots

  3. Performance of RNAalifold(20) - scored higher in this pairwise comparison

  4. Performance of RNASLOpt - scored lower in this pairwise comparison

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


Overview

Metric RNAalifold(20) RNASLOpt
MCC 0.759 > 0.635
Average MCC ± 95% Confidence Intervals 0.738 ± 0.167 > 0.657 ± 0.163
Sensitivity 0.688 > 0.616
Positive Predictive Value 0.842 > 0.662
Total TP 192 > 172
Total TN 24179 > 24147
Total FP 52 < 121
Total FP CONTRA 8 < 31
Total FP INCONS 28 < 57
Total FP COMP 16 < 33
Total FN 87 < 107
P-value 1.89649746203e-08

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Performance plots


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

  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 RNAalifold(20) and RNASLOpt).

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

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

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

Total Base Pair Counts
Total TP 192
Total TN 24179
Total FP 52
Total FP CONTRA 8
Total FP INCONS 28
Total FP COMP 16
Total FN 87
Total Scores
MCC 0.759
Average MCC ± 95% Confidence Intervals 0.738 ± 0.167
Sensitivity 0.688
Positive Predictive Value 0.842
Nr of predictions 11

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3J20_0 0.95 0.95 0.95 20 1198 1 1 0 0 1
3J20_1 1.00 1.00 1.00 20 1092 1 0 0 1 0
3J2L_3 0.86 0.74 1.00 25 2995 2 0 0 2 9
3ZEX_C 0.46 0.41 0.52 12 5351 16 2 9 5 17
3ZEX_D 0.91 0.89 0.94 31 2763 6 0 2 4 4
4A1C_2 0.22 0.25 0.19 5 4490 23 5 16 2 15
4A1C_3 0.90 0.84 0.97 31 2731 1 0 1 0 6
4AOB_A 0.85 0.72 1.00 21 1416 2 0 0 2 8
4ENB_A 0.51 0.27 1.00 4 468 0 0 0 0 11
4ENC_A 0.63 0.40 1.00 6 490 0 0 0 0 9
4FRG_B 0.84 0.71 1.00 17 1185 0 0 0 0 7

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Performance of RNASLOpt - scored lower in this pairwise comparison

1. Total counts & total scores for RNASLOpt

Total Base Pair Counts
Total TP 172
Total TN 24147
Total FP 121
Total FP CONTRA 31
Total FP INCONS 57
Total FP COMP 33
Total FN 107
Total Scores
MCC 0.635
Average MCC ± 95% Confidence Intervals 0.657 ± 0.163
Sensitivity 0.616
Positive Predictive Value 0.662
Nr of predictions 11

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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
3J20_1 1.00 1.00 1.00 20 1092 1 0 0 1 0
3J2L_3 0.71 0.68 0.74 23 2989 11 0 8 3 11
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_2 0.30 0.40 0.24 8 4482 35 13 13 9 12
4A1C_3 0.79 0.73 0.87 27 2732 5 0 4 1 10
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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Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.