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

  1. Overview

  2. Performance Plots

  3. Performance of CentroidFold - scored higher in this pairwise comparison

  4. Performance of RNASampler(seed) - scored lower in this pairwise comparison

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


Overview

Metric CentroidFold RNASampler(seed)
MCC 0.707 > 0.665
Average MCC ± 95% Confidence Intervals 0.741 ± 0.151 > 0.674 ± 0.140
Sensitivity 0.626 > 0.525
Positive Predictive Value 0.804 < 0.846
Total TP 274 > 230
Total TN 60612 < 60681
Total FP 78 > 59
Total FP CONTRA 12 > 4
Total FP INCONS 55 > 38
Total FP COMP 11 < 17
Total FN 164 < 208
P-value 2.26346675981e-08

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Performance plots


  1. Comparison of performance of CentroidFold and RNASampler(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 CentroidFold and RNASampler(seed)).

  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 CentroidFold and RNASampler(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for CentroidFold and RNASampler(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 CentroidFold and RNASampler(seed)).

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Performance of CentroidFold - scored higher in this pairwise comparison

1. Total counts & total scores for CentroidFold

Total Base Pair Counts
Total TP 274
Total TN 60612
Total FP 78
Total FP CONTRA 12
Total FP INCONS 55
Total FP COMP 11
Total FN 164
Total Scores
MCC 0.707
Average MCC ± 95% Confidence Intervals 0.741 ± 0.151
Sensitivity 0.626
Positive Predictive Value 0.804
Nr of predictions 16

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KE6_A 0.97 0.95 1.00 18 1110 1 0 0 1 1
2KUR_A 0.95 0.90 1.00 19 1109 0 0 0 0 2
2KUU_A 0.92 0.86 1.00 18 1110 1 0 0 1 3
2KUV_A 0.93 0.86 1.00 19 1109 0 0 0 0 3
2KUW_A 0.95 0.90 1.00 19 1109 0 0 0 0 2
2L1F_B 0.98 0.96 1.00 24 2121 0 0 0 0 1
2L1F_A 0.98 0.96 1.00 23 2057 0 0 0 0 1
2L94_A 0.92 0.90 0.95 18 971 1 0 1 0 2
2LC8_A 0.49 0.35 0.70 7 1530 3 1 2 0 13
3A3A_A 0.87 0.76 1.00 28 3627 0 0 0 0 9
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3JYX_4 0.23 0.21 0.25 7 12218 25 5 16 4 26
3O58_3 0.38 0.29 0.50 10 12383 10 0 10 0 25
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.58 0.48 0.71 20 3888 8 1 7 0 22
4A1C_2 0.16 0.15 0.17 5 11752 29 5 19 5 28

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

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

Total Base Pair Counts
Total TP 230
Total TN 60681
Total FP 59
Total FP CONTRA 4
Total FP INCONS 38
Total FP COMP 17
Total FN 208
Total Scores
MCC 0.665
Average MCC ± 95% Confidence Intervals 0.674 ± 0.140
Sensitivity 0.525
Positive Predictive Value 0.846
Nr of predictions 16

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KE6_A 0.92 0.84 1.00 16 1112 1 0 0 1 3
2KUR_A 0.90 0.81 1.00 17 1111 0 0 0 0 4
2KUU_A 0.87 0.76 1.00 16 1112 1 0 0 1 5
2KUV_A 0.88 0.77 1.00 17 1111 0 0 0 0 5
2KUW_A 0.90 0.81 1.00 17 1111 0 0 0 0 4
2L1F_B 0.82 0.68 1.00 17 2128 0 0 0 0 8
2L1F_A 0.81 0.67 1.00 16 2064 0 0 0 0 8
2L94_A 0.71 0.55 0.92 11 978 1 0 1 0 9
2LC8_A -0.01 0.00 0.00 0 1530 10 0 10 0 20
3A3A_A 0.70 0.49 1.00 18 3637 0 0 0 0 19
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3JYX_4 0.39 0.30 0.50 10 12226 13 2 8 3 23
3O58_3 0.45 0.34 0.60 12 12383 12 2 6 4 23
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.60 0.38 0.94 16 3899 1 0 1 0 26
4A1C_2 0.31 0.24 0.40 8 11761 20 0 12 8 25

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