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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric ContextFold RSpredict(seed)
MCC 0.667 > 0.397
Average MCC ± 95% Confidence Intervals 0.614 ± 0.099 > 0.111 ± 0.078
Sensitivity 0.551 > 0.251
Positive Predictive Value 0.809 > 0.628
Total TP 823 > 375
Total TN 1244747 < 1245167
Total FP 242 > 229
Total FP CONTRA 30 > 15
Total FP INCONS 164 < 207
Total FP COMP 48 > 7
Total FN 672 < 1120
P-value 4.85839946686e-08

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Performance plots


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

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

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Performance of ContextFold - scored higher in this pairwise comparison

1. Total counts & total scores for ContextFold

Total Base Pair Counts
Total TP 823
Total TN 1244747
Total FP 242
Total FP CONTRA 30
Total FP INCONS 164
Total FP COMP 48
Total FN 672
Total Scores
MCC 0.667
Average MCC ± 95% Confidence Intervals 0.614 ± 0.099
Sensitivity 0.551
Positive Predictive Value 0.809
Nr of predictions 25

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.55 0.50 0.63 10 1524 6 0 6 0 10
3J16_L 0.75 0.57 1.00 17 2758 0 0 0 0 13
3J20_0 0.84 0.70 1.00 21 2829 1 0 0 1 9
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J20_2 0.73 0.61 0.87 387 1116318 63 8 52 3 246
3J2L_3 0.79 0.62 1.00 33 7842 2 0 0 2 20
3J3D_C 0.73 0.61 0.89 17 2756 2 0 2 0 11
3J3E_7 0.72 0.56 0.94 30 7108 2 0 2 0 24
3J3E_8 0.00 0.00 0.00 0 7483 29 9 11 9 33
3J3F_8 0.33 0.31 0.37 11 12216 29 3 16 10 25
3J3F_7 0.81 0.68 0.97 34 7225 1 0 1 0 16
3UZL_B 0.72 0.54 0.95 20 3549 1 0 1 0 17
3W1K_J 0.81 0.71 0.93 27 4157 2 1 1 0 11
3W3S_B 0.79 0.70 0.90 28 4722 4 0 3 1 12
3ZEX_D 0.81 0.67 0.97 33 6987 1 0 1 0 16
3ZEX_C 0.33 0.25 0.45 13 14167 22 1 15 6 39
3ZND_W 0.21 0.22 0.22 5 2980 20 0 18 2 18
4A1C_2 0.20 0.15 0.28 5 11763 26 0 13 13 28
4A1C_3 0.78 0.63 0.97 34 7105 1 0 1 0 20
4AOB_A 0.52 0.40 0.68 17 4346 9 1 7 1 25
4ENB_A 0.69 0.47 1.00 9 1266 0 0 0 0 10
4ENC_A 0.65 0.47 0.90 9 1316 1 1 0 0 10
4FRG_B 0.71 0.56 0.90 18 3466 2 1 1 0 14
4FRN_A 0.40 0.33 0.50 12 5127 12 3 9 0 24
4JF2_A 0.50 0.39 0.67 12 2832 6 2 4 0 19

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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 375
Total TN 1245167
Total FP 229
Total FP CONTRA 15
Total FP INCONS 207
Total FP COMP 7
Total FN 1120
Total Scores
MCC 0.397
Average MCC ± 95% Confidence Intervals 0.111 ± 0.078
Sensitivity 0.251
Positive Predictive Value 0.628
Nr of predictions 25

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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
3J16_L 0.00 0.00 0.00 0 2774 1 0 1 0 30
3J20_0 0.00 0.00 0.00 0 2846 4 0 4 0 30
3J20_1 0.09 0.04 0.20 1 2921 4 0 4 0 22
3J20_2 0.62 0.53 0.73 335 1116304 129 9 117 3 298
3J2L_3 0.00 0.00 0.00 0 7870 5 0 5 0 53
3J3D_C 0.00 0.00 0.00 0 2771 4 1 3 0 28
3J3E_7 0.00 0.00 0.00 0 7132 8 0 8 0 54
3J3E_8 0.00 0.00 0.00 0 7503 0 0 0 0 33
3J3F_8 0.14 0.06 0.33 2 12240 5 1 3 1 34
3J3F_7 0.00 0.00 0.00 0 7256 4 0 4 0 50
3UZL_B 0.00 0.00 0.00 0 3564 6 0 6 0 37
3W1K_J 0.51 0.29 0.92 11 4174 1 0 1 0 27
3W3S_B 0.41 0.30 0.57 12 4732 10 1 8 1 28
3ZEX_D 0.00 0.00 0.00 0 7019 2 0 2 0 49
3ZEX_C 0.10 0.04 0.25 2 14188 6 1 5 0 50
3ZND_W 0.00 0.00 0.00 0 3000 4 0 3 1 23
4A1C_2 0.00 0.00 0.00 0 11777 5 1 3 1 33
4A1C_3 0.00 0.00 0.00 0 7136 4 1 3 0 54
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
4FRG_B 0.00 0.00 0.00 0 3484 2 0 2 0 32
4FRN_A 0.00 0.00 0.00 0 5148 3 0 3 0 36
4JF2_A 0.00 0.00 0.00 0 2846 4 0 4 0 31

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