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

  1. Overview

  2. Performance Plots

  3. Performance of Vsfold4 - scored higher in this pairwise comparison

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

  5. Compile and download dataset for Vsfold4 & Murlet(seed) [.zip] - may take several seconds...


Overview

Metric Vsfold4 Murlet(seed)
MCC 0.497 > 0.475
Average MCC ± 95% Confidence Intervals 0.521 ± 0.163 > 0.471 ± 0.083
Sensitivity 0.407 > 0.270
Positive Predictive Value 0.613 < 0.841
Total TP 223 > 148
Total TN 83869 < 84057
Total FP 176 > 32
Total FP CONTRA 9 > 5
Total FP INCONS 132 > 23
Total FP COMP 35 > 4
Total FN 325 < 400
P-value 2.89169006118e-08

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Performance plots


  1. Comparison of performance of Vsfold4 and Murlet(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 Vsfold4 and Murlet(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 Vsfold4 and Murlet(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Vsfold4 and Murlet(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 Vsfold4 and Murlet(seed)).

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Performance of Vsfold4 - scored higher in this pairwise comparison

1. Total counts & total scores for Vsfold4

Total Base Pair Counts
Total TP 223
Total TN 83869
Total FP 176
Total FP CONTRA 9
Total FP INCONS 132
Total FP COMP 35
Total FN 325
Total Scores
MCC 0.497
Average MCC ± 95% Confidence Intervals 0.521 ± 0.163
Sensitivity 0.407
Positive Predictive Value 0.613
Nr of predictions 16

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2. Individual counts for Vsfold4 [ 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
2LC8_A -0.01 0.00 0.00 0 1527 13 0 13 0 20
3A3A_A 0.85 0.73 1.00 27 3628 0 0 0 0 10
3GX2_A 0.50 0.40 0.64 16 4346 10 0 9 1 24
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3JYX_4 0.10 0.09 0.12 3 12220 33 2 21 10 30
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.61 0.50 0.74 23 6990 9 0 8 1 23
3O58_3 0.09 0.09 0.10 3 12373 35 5 22 8 32
3PDR_A 0.57 0.44 0.74 32 12837 13 0 11 2 40
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.19 0.17 0.24 7 3887 22 1 21 0 35
4A1C_2 0.28 0.24 0.33 8 11757 28 0 16 12 25
4AOB_A 0.42 0.33 0.54 14 4345 13 1 11 1 28
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.69 0.47 1.00 9 1317 0 0 0 0 10

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

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

Total Base Pair Counts
Total TP 148
Total TN 84057
Total FP 32
Total FP CONTRA 5
Total FP INCONS 23
Total FP COMP 4
Total FN 400
Total Scores
MCC 0.475
Average MCC ± 95% Confidence Intervals 0.471 ± 0.083
Sensitivity 0.270
Positive Predictive Value 0.841
Nr of predictions 16

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.52 0.27 1.00 3 403 0 0 0 0 8
2LC8_A -0.01 0.00 0.00 0 1528 12 0 12 0 20
3A3A_A 0.57 0.32 1.00 12 3643 0 0 0 0 25
3GX2_A 0.59 0.35 1.00 14 4357 1 0 0 1 26
3IVN_B 0.53 0.39 0.75 12 2330 4 2 2 0 19
3JYX_4 0.23 0.09 0.60 3 12241 4 0 2 2 30
3LA5_A 0.58 0.41 0.82 14 2468 3 1 2 0 20
3NPB_A 0.49 0.28 0.87 13 7006 2 1 1 0 33
3O58_3 0.45 0.20 1.00 7 12396 0 0 0 0 28
3PDR_A 0.44 0.19 1.00 14 12866 0 0 0 0 58
3RKF_A 0.53 0.35 0.80 12 2196 3 1 2 0 22
3SD1_A 0.47 0.26 0.85 11 3903 2 0 2 0 31
4A1C_2 0.46 0.21 1.00 7 11774 0 0 0 0 26
4AOB_A 0.58 0.33 1.00 14 4357 1 0 0 1 28
4ENB_A 0.56 0.32 1.00 6 1269 0 0 0 0 13
4ENC_A 0.56 0.32 1.00 6 1320 0 0 0 0 13

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