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

  1. Overview

  2. Performance Plots

  3. Performance of PETfold_pre2.0(seed) - scored higher in this pairwise comparison

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

  5. Compile and download dataset for PETfold_pre2.0(seed) & RNAsubopt [.zip] - may take several seconds...


Overview

Metric PETfold_pre2.0(seed) RNAsubopt
MCC 0.789 > 0.523
Average MCC ± 95% Confidence Intervals 0.768 ± 0.077 > 0.506 ± 0.160
Sensitivity 0.726 > 0.562
Positive Predictive Value 0.861 > 0.497
Total TP 247 > 191
Total TN 30025 > 29928
Total FP 87 < 254
Total FP CONTRA 17 < 62
Total FP INCONS 23 < 131
Total FP COMP 47 < 61
Total FN 93 < 149
P-value 2.9966815982e-08

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Performance plots


  1. Comparison of performance of PETfold_pre2.0(seed) and RNAsubopt. 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 PETfold_pre2.0(seed) and RNAsubopt).

  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 PETfold_pre2.0(seed) and RNAsubopt).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for PETfold_pre2.0(seed) and RNAsubopt. 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 PETfold_pre2.0(seed) and RNAsubopt).

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Performance of PETfold_pre2.0(seed) - scored higher in this pairwise comparison

1. Total counts & total scores for PETfold_pre2.0(seed)

Total Base Pair Counts
Total TP 247
Total TN 30025
Total FP 87
Total FP CONTRA 17
Total FP INCONS 23
Total FP COMP 47
Total FN 93
Total Scores
MCC 0.789
Average MCC ± 95% Confidence Intervals 0.768 ± 0.077
Sensitivity 0.726
Positive Predictive Value 0.861
Nr of predictions 15

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2. Individual counts for PETfold_pre2.0(seed) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.41 0.33 0.55 6 517 5 0 5 0 12
3J20_0 0.95 0.95 0.95 20 1198 2 1 0 1 1
3J3D_C 0.90 0.95 0.86 18 947 4 3 0 1 1
3J3E_8 0.71 0.67 0.77 10 2729 8 1 2 5 5
3J3F_8 0.86 0.84 0.89 16 4743 13 2 0 11 3
3W1K_J 0.85 0.81 0.89 25 1650 4 2 1 1 6
3W3S_B 0.80 0.73 0.89 24 1962 6 1 2 3 9
3ZEX_C 0.70 0.59 0.85 17 5354 12 1 2 9 12
4A1C_2 0.79 0.75 0.83 15 4498 12 1 2 9 5
4AOB_A 0.85 0.79 0.92 23 1412 4 0 2 2 6
4ENB_A 0.61 0.53 0.73 8 461 5 1 2 2 7
4ENC_A 0.61 0.53 0.73 8 485 5 1 2 2 7
4FRG_B 0.87 0.83 0.91 20 1180 3 0 2 1 4
4FRN_A 0.83 0.79 0.88 22 1823 3 2 1 0 6
4JF2_A 0.76 0.63 0.94 15 1066 1 1 0 0 9

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Performance of RNAsubopt - scored lower in this pairwise comparison

1. Total counts & total scores for RNAsubopt

Total Base Pair Counts
Total TP 191
Total TN 29928
Total FP 254
Total FP CONTRA 62
Total FP INCONS 131
Total FP COMP 61
Total FN 149
Total Scores
MCC 0.523
Average MCC ± 95% Confidence Intervals 0.506 ± 0.160
Sensitivity 0.562
Positive Predictive Value 0.497
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A -0.03 0.00 0.00 0 513 15 3 12 0 18
3J20_0 0.51 0.57 0.48 12 1194 14 2 11 1 9
3J3D_C 0.65 0.74 0.58 14 944 10 5 5 0 5
3J3E_8 0.25 0.33 0.20 5 2717 32 7 13 12 10
3J3F_8 0.35 0.47 0.26 9 4726 42 13 13 16 10
3W1K_J 0.97 0.97 0.97 30 1647 1 1 0 0 1
3W3S_B 0.95 0.94 0.97 31 1957 2 0 1 1 2
3ZEX_C 0.30 0.34 0.26 10 5336 43 5 23 15 19
4A1C_2 0.18 0.25 0.14 5 4481 43 13 17 13 15
4AOB_A 0.62 0.62 0.64 18 1409 11 4 6 1 11
4ENB_A 0.85 0.73 1.00 11 461 2 0 0 2 4
4ENC_A 0.36 0.33 0.42 5 484 7 0 7 0 10
4FRG_B 0.36 0.38 0.38 9 1178 15 2 13 0 15
4FRN_A 0.58 0.57 0.59 16 1821 11 3 8 0 12
4JF2_A 0.69 0.67 0.73 16 1060 6 4 2 0 8

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