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 PPfold(seed) - scored lower in this pairwise comparison

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


Overview

Metric RNASLOpt PPfold(seed)
MCC 0.533 > 0.100
Average MCC ± 95% Confidence Intervals 0.551 ± 0.120 > 0.046 ± 0.066
Sensitivity 0.431 > 0.019
Positive Predictive Value 0.666 > 0.524
Total TP 245 > 11
Total TN 81668 < 82015
Total FP 146 > 47
Total FP CONTRA 17 > 0
Total FP INCONS 106 > 10
Total FP COMP 23 < 37
Total FN 324 < 558
P-value 2.45805449719e-08

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Performance plots


  1. Comparison of performance of RNASLOpt and PPfold(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 RNASLOpt and PPfold(seed)).

  2. Comparison of performance of RNASLOpt and PPfold(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 RNASLOpt and PPfold(seed)).

  3. 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 PPfold(seed)).

  4. 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 PPfold(seed)).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASLOpt and PPfold(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 RNASLOpt and PPfold(seed)).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASLOpt and PPfold(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 RNASLOpt and PPfold(seed)).

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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 245
Total TN 81668
Total FP 146
Total FP CONTRA 17
Total FP INCONS 106
Total FP COMP 23
Total FN 324
Total Scores
MCC 0.533
Average MCC ± 95% Confidence Intervals 0.551 ± 0.120
Sensitivity 0.431
Positive Predictive Value 0.666
Nr of predictions 16

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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
2LC8_A 0.47 0.35 0.64 7 1529 4 0 4 0 13
3J16_L 0.53 0.40 0.71 12 2758 5 0 5 0 18
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J20_0 0.66 0.57 0.77 17 2828 6 1 4 1 13
3J2L_3 0.56 0.43 0.72 23 7843 11 0 9 2 30
3UZL_B 0.48 0.32 0.71 12 3553 5 0 5 0 25
3W3S_B 0.82 0.70 0.97 28 4724 2 0 1 1 12
3ZEX_C 0.26 0.21 0.33 11 14163 35 2 20 13 41
3ZEX_D 0.76 0.59 0.97 29 6991 1 0 1 0 20
4A1C_3 0.67 0.52 0.88 28 7108 4 0 4 0 26
4A1C_2 0.23 0.24 0.22 8 11744 35 8 21 6 25
4AOB_A 0.26 0.19 0.38 8 4350 13 2 11 0 34
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.65 0.47 0.90 9 1316 1 1 0 0 10
4FRG_B 0.56 0.47 0.68 15 3464 7 1 6 0 17
4FRN_A 0.20 0.17 0.26 6 5128 17 2 15 0 30

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Performance of PPfold(seed) - scored lower in this pairwise comparison

1. Total counts & total scores for PPfold(seed)

Total Base Pair Counts
Total TP 11
Total TN 82015
Total FP 47
Total FP CONTRA 0
Total FP INCONS 10
Total FP COMP 37
Total FN 558
Total Scores
MCC 0.100
Average MCC ± 95% Confidence Intervals 0.046 ± 0.066
Sensitivity 0.019
Positive Predictive Value 0.524
Nr of predictions 16

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2. Individual counts for PPfold(seed) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.47 0.30 0.75 6 1532 2 0 2 0 14
3J16_L 0.00 0.00 0.00 0 2775 0 0 0 0 30
3J20_1 0.00 0.00 0.00 0 2926 0 0 0 0 23
3J20_0 0.00 0.00 0.00 0 2850 0 0 0 0 30
3J2L_3 0.00 0.00 0.00 0 7875 0 0 0 0 53
3UZL_B 0.00 0.00 0.00 0 3570 0 0 0 0 37
3W3S_B 0.00 0.00 0.00 0 4753 0 0 0 0 40
3ZEX_C 0.20 0.08 0.50 4 14188 22 0 4 18 48
3ZEX_D 0.00 0.00 0.00 0 7021 0 0 0 0 49
4A1C_3 0.00 0.00 0.00 0 7140 0 0 0 0 54
4A1C_2 0.08 0.03 0.20 1 11776 23 0 4 19 32
4AOB_A 0.00 0.00 0.00 0 4371 0 0 0 0 42
4ENB_A 0.00 0.00 0.00 0 1275 0 0 0 0 19
4ENC_A 0.00 0.00 0.00 0 1326 0 0 0 0 19
4FRG_B 0.00 0.00 0.00 0 3486 0 0 0 0 32
4FRN_A 0.00 0.00 0.00 0 5151 0 0 0 0 36

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