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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Sfold RNASampler(seed)
MCC 0.678 > 0.635
Average MCC ± 95% Confidence Intervals 0.721 ± 0.126 > 0.663 ± 0.127
Sensitivity 0.588 > 0.484
Positive Predictive Value 0.785 < 0.837
Total TP 318 > 262
Total TN 79903 < 79995
Total FP 129 > 73
Total FP CONTRA 8 > 5
Total FP INCONS 79 > 46
Total FP COMP 42 > 22
Total FN 223 < 279
P-value 2.69132796717e-08

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Performance plots


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

  2. Comparison of performance of Sfold 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 Sfold and RNASampler(seed)).

  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 Sfold and RNASampler(seed)).

  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 Sfold and RNASampler(seed)).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for Sfold 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 Sfold and RNASampler(seed)).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for Sfold 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 Sfold and RNASampler(seed)).

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Performance of Sfold - scored higher in this pairwise comparison

1. Total counts & total scores for Sfold

Total Base Pair Counts
Total TP 318
Total TN 79903
Total FP 129
Total FP CONTRA 8
Total FP INCONS 79
Total FP COMP 42
Total FN 223
Total Scores
MCC 0.678
Average MCC ± 95% Confidence Intervals 0.721 ± 0.126
Sensitivity 0.588
Positive Predictive Value 0.785
Nr of predictions 19

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.95 0.91 1.00 10 396 0 0 0 0 1
2KE6_A 0.92 0.89 0.94 17 1110 2 0 1 1 2
2KUR_A 0.90 0.86 0.95 18 1109 1 0 1 0 3
2KUU_A 0.87 0.81 0.94 17 1110 2 0 1 1 4
2KUV_A 0.88 0.82 0.95 18 1109 1 0 1 0 4
2KUW_A 0.90 0.86 0.95 18 1109 1 0 1 0 3
2L1F_A 0.98 0.96 1.00 23 2057 0 0 0 0 1
2L1F_B 0.98 0.96 1.00 24 2121 0 0 0 0 1
2L94_A 0.97 0.95 1.00 19 971 0 0 0 0 1
2LC8_A 0.45 0.35 0.58 7 1528 5 0 5 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 0.35 0.30 0.42 10 12222 23 3 11 9 23
3O58_3 0.43 0.34 0.55 12 12381 17 0 10 7 23
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.65 0.50 0.84 21 3891 4 1 3 0 21
3W3S_B 0.57 0.53 0.64 21 4720 13 1 11 1 19
3ZEX_C 0.32 0.21 0.48 11 14173 26 1 11 14 41
4A1C_2 0.16 0.15 0.17 5 11751 34 2 23 9 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 262
Total TN 79995
Total FP 73
Total FP CONTRA 5
Total FP INCONS 46
Total FP COMP 22
Total FN 279
Total Scores
MCC 0.635
Average MCC ± 95% Confidence Intervals 0.663 ± 0.127
Sensitivity 0.484
Positive Predictive Value 0.837
Nr of predictions 19

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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
2KDQ_B 0.95 0.91 1.00 10 396 0 0 0 0 1
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_A 0.81 0.67 1.00 16 2064 0 0 0 0 8
2L1F_B 0.82 0.68 1.00 17 2128 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
3W3S_B 0.55 0.30 1.00 12 4741 1 0 0 1 28
3ZEX_C 0.32 0.19 0.53 10 14177 13 1 8 4 42
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.