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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric PPfold(20) PknotsRG
MCC 0.691 > 0.588
Average MCC ± 95% Confidence Intervals 0.679 ± 0.109 > 0.632 ± 0.143
Sensitivity 0.544 > 0.516
Positive Predictive Value 0.881 > 0.676
Total TP 288 > 273
Total TN 74040 > 73963
Total FP 49 < 161
Total FP CONTRA 0 < 11
Total FP INCONS 39 < 120
Total FP COMP 10 < 30
Total FN 241 < 256
P-value 2.1413769576e-08

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Performance plots


  1. Comparison of performance of PPfold(20) and PknotsRG. 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 PPfold(20) and PknotsRG).

  2. Comparison of performance of PPfold(20) and PknotsRG. 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 PPfold(20) and PknotsRG).

  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 PPfold(20) and PknotsRG).

  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 PPfold(20) and PknotsRG).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for PPfold(20) and PknotsRG. 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 PPfold(20) and PknotsRG).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for PPfold(20) and PknotsRG. 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 PPfold(20) and PknotsRG).

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

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

Total Base Pair Counts
Total TP 288
Total TN 74040
Total FP 49
Total FP CONTRA 0
Total FP INCONS 39
Total FP COMP 10
Total FN 241
Total Scores
MCC 0.691
Average MCC ± 95% Confidence Intervals 0.679 ± 0.109
Sensitivity 0.544
Positive Predictive Value 0.881
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.63 0.45 0.90 9 980 1 0 1 0 11
3AMU_B 0.86 0.74 1.00 20 2983 1 0 0 1 7
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J20_0 0.84 0.70 1.00 21 2829 0 0 0 0 9
3J2L_3 0.78 0.62 0.97 33 7841 3 0 1 2 20
3RKF_A 0.73 0.56 0.95 19 2191 1 0 1 0 15
3SD1_A 0.68 0.52 0.88 22 3891 3 0 3 0 20
3ZEX_C 0.33 0.21 0.52 11 14175 12 0 10 2 41
3ZEX_D 0.81 0.71 0.92 35 6983 3 0 3 0 14
4A1C_3 0.77 0.63 0.94 34 7104 2 0 2 0 20
4A1C_2 0.21 0.15 0.29 5 11764 16 0 12 4 28
4AOB_A 0.74 0.60 0.93 25 4344 3 0 2 1 17
4ENB_A 0.56 0.37 0.88 7 1267 1 0 1 0 12
4ENC_A 0.58 0.42 0.80 8 1316 2 0 2 0 11
4FRG_B 0.73 0.56 0.95 18 3467 1 0 1 0 14

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Performance of PknotsRG - scored lower in this pairwise comparison

1. Total counts & total scores for PknotsRG

Total Base Pair Counts
Total TP 273
Total TN 73963
Total FP 161
Total FP CONTRA 11
Total FP INCONS 120
Total FP COMP 30
Total FN 256
Total Scores
MCC 0.588
Average MCC ± 95% Confidence Intervals 0.632 ± 0.143
Sensitivity 0.516
Positive Predictive Value 0.676
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.97 0.95 1.00 19 971 0 0 0 0 1
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J20_0 0.43 0.40 0.48 12 2825 14 0 13 1 18
3J2L_3 0.62 0.53 0.74 28 7837 12 0 10 2 25
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.61 0.50 0.75 21 3888 7 1 6 0 21
3ZEX_C 0.24 0.21 0.28 11 14157 43 1 27 15 41
3ZEX_D 0.77 0.65 0.91 32 6986 3 0 3 0 17
4A1C_3 0.70 0.59 0.82 32 7101 7 1 6 0 22
4A1C_2 0.14 0.15 0.13 5 11742 43 5 29 9 28
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ENB_A 0.89 0.79 1.00 15 1260 0 0 0 0 4
4ENC_A 0.86 0.79 0.94 15 1310 1 1 0 0 4
4FRG_B 0.32 0.28 0.38 9 3462 15 0 15 0 23

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