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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNASampler(20) RNAshapes
MCC 0.732 > 0.637
Average MCC ± 95% Confidence Intervals 0.763 ± 0.114 > 0.631 ± 0.162
Sensitivity 0.639 > 0.637
Positive Predictive Value 0.843 > 0.644
Total TP 290 > 289
Total TN 51919 > 51814
Total FP 93 < 208
Total FP CONTRA 24 < 50
Total FP INCONS 30 < 110
Total FP COMP 39 < 48
Total FN 164 < 165
P-value 1.52299983238e-08

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Performance plots


  1. Comparison of performance of RNASampler(20) and RNAshapes. 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 RNASampler(20) and RNAshapes).

  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 RNASampler(20) and RNAshapes).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASampler(20) and RNAshapes. 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 RNASampler(20) and RNAshapes).

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

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

Total Base Pair Counts
Total TP 290
Total TN 51919
Total FP 93
Total FP CONTRA 24
Total FP INCONS 30
Total FP COMP 39
Total FN 164
Total Scores
MCC 0.732
Average MCC ± 95% Confidence Intervals 0.763 ± 0.114
Sensitivity 0.639
Positive Predictive Value 0.843
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3A2K_C 0.98 0.95 1.00 21 1087 0 0 0 0 1
3GX2_A 0.88 0.79 1.00 22 1427 1 0 0 1 6
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.52 0.41 0.65 39 25476 26 15 6 5 56
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3LA5_A 0.89 0.80 1.00 20 934 0 0 0 0 5
3NPB_A 0.75 0.57 1.00 21 2257 5 0 0 5 16
3O58_3 0.51 0.50 0.52 11 4743 19 5 5 9 11
3PDR_A 0.84 0.76 0.93 38 4799 5 1 2 2 12
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.81 0.69 0.95 20 1512 1 0 1 0 9
4A1C_2 0.24 0.25 0.24 5 4495 30 3 13 14 15
4AOB_A 0.70 0.59 0.85 17 1417 4 0 3 1 12
4ENB_A 0.68 0.47 1.00 7 465 0 0 0 0 8
4ENC_A 0.85 0.73 1.00 11 485 0 0 0 0 4

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Performance of RNAshapes - scored lower in this pairwise comparison

1. Total counts & total scores for RNAshapes

Total Base Pair Counts
Total TP 289
Total TN 51814
Total FP 208
Total FP CONTRA 50
Total FP INCONS 110
Total FP COMP 48
Total FN 165
Total Scores
MCC 0.637
Average MCC ± 95% Confidence Intervals 0.631 ± 0.162
Sensitivity 0.637
Positive Predictive Value 0.644
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3A2K_C 0.47 0.50 0.46 11 1084 13 3 10 0 11
3GX2_A 0.91 0.89 0.93 25 1422 3 1 1 1 3
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.57 0.58 0.56 55 25437 50 16 28 6 40
3JYV_7 -0.02 0.00 0.00 0 1092 20 1 18 1 20
3LA5_A 0.89 0.80 1.00 20 934 0 0 0 0 5
3NPB_A 0.84 0.76 0.93 28 2248 5 1 1 3 9
3O58_3 0.41 0.50 0.34 11 4732 38 6 15 17 11
3PDR_A 0.80 0.80 0.80 40 4790 12 3 7 2 10
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.77 0.76 0.79 22 1505 6 4 2 0 7
4A1C_2 0.19 0.25 0.16 5 4484 41 11 16 14 15
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ENB_A 0.85 0.73 1.00 11 461 2 0 0 2 4
4ENC_A 0.37 0.33 0.45 5 485 7 0 6 1 10

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