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 RNASampler(20) - scored lower in this pairwise comparison

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


Overview

Metric ContextFold RNASampler(20)
MCC 0.660 > 0.575
Average MCC ± 95% Confidence Intervals 0.661 ± 0.151 > 0.598 ± 0.154
Sensitivity 0.525 > 0.431
Positive Predictive Value 0.835 > 0.771
Total TP 213 > 175
Total TN 63992 < 64020
Total FP 65 < 73
Total FP CONTRA 4 > 2
Total FP INCONS 38 < 50
Total FP COMP 23 > 21
Total FN 193 < 231
P-value 2.20167918023e-08

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Performance plots


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

  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 RNASampler(20)).

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

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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 213
Total TN 63992
Total FP 65
Total FP CONTRA 4
Total FP INCONS 38
Total FP COMP 23
Total FN 193
Total Scores
MCC 0.660
Average MCC ± 95% Confidence Intervals 0.661 ± 0.151
Sensitivity 0.525
Positive Predictive Value 0.835
Nr of predictions 11

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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
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
3J2L_3 0.79 0.62 1.00 33 7842 2 0 0 2 20
3ZEX_C 0.33 0.25 0.45 13 14167 22 1 15 6 39
3ZEX_D 0.81 0.67 0.97 33 6987 1 0 1 0 16
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

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

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

Total Base Pair Counts
Total TP 175
Total TN 64020
Total FP 73
Total FP CONTRA 2
Total FP INCONS 50
Total FP COMP 21
Total FN 231
Total Scores
MCC 0.575
Average MCC ± 95% Confidence Intervals 0.598 ± 0.154
Sensitivity 0.431
Positive Predictive Value 0.771
Nr of predictions 11

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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
3J20_0 0.80 0.67 0.95 20 2829 2 0 1 1 10
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J2L_3 0.45 0.32 0.63 17 7848 12 1 9 2 36
3ZEX_C 0.27 0.19 0.38 10 14170 20 1 15 4 42
3ZEX_D 0.68 0.49 0.96 24 6996 1 0 1 0 25
4A1C_2 0.18 0.15 0.23 5 11759 30 0 17 13 28
4A1C_3 0.74 0.56 1.00 30 7110 0 0 0 0 24
4AOB_A 0.58 0.40 0.85 17 4351 4 0 3 1 25
4ENB_A 0.60 0.37 1.00 7 1268 0 0 0 0 12
4ENC_A 0.76 0.58 1.00 11 1315 0 0 0 0 8
4FRG_B 0.55 0.41 0.76 13 3469 4 0 4 0 19

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