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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RDfolder RSpredict(seed)
MCC 0.556 > 0.440
Average MCC ± 95% Confidence Intervals 0.572 ± 0.124 > 0.374 ± 0.127
Sensitivity 0.462 > 0.265
Positive Predictive Value 0.678 < 0.742
Total TP 377 > 216
Total TN 72474 < 72739
Total FP 191 > 80
Total FP CONTRA 20 > 4
Total FP INCONS 159 > 71
Total FP COMP 12 > 5
Total FN 439 < 600
P-value 5.23657817852e-08

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Performance plots


  1. Comparison of performance of RDfolder and RSpredict(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 RDfolder and RSpredict(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 RDfolder and RSpredict(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RDfolder and RSpredict(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 RDfolder and RSpredict(seed)).

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Performance of RDfolder - scored higher in this pairwise comparison

1. Total counts & total scores for RDfolder

Total Base Pair Counts
Total TP 377
Total TN 72474
Total FP 191
Total FP CONTRA 20
Total FP INCONS 159
Total FP COMP 12
Total FN 439
Total Scores
MCC 0.556
Average MCC ± 95% Confidence Intervals 0.572 ± 0.124
Sensitivity 0.462
Positive Predictive Value 0.678
Nr of predictions 31

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2. Individual counts for RDfolder [ 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 0.89 0.79 1.00 15 1113 1 0 0 1 4
2KUR_A 0.87 0.76 1.00 16 1112 0 0 0 0 5
2KUU_A 0.84 0.71 1.00 15 1113 1 0 0 1 6
2KUV_A 0.85 0.73 1.00 16 1112 0 0 0 0 6
2KUW_A 0.87 0.76 1.00 16 1112 0 0 0 0 5
2KX8_A 0.88 0.78 1.00 14 847 0 0 0 0 4
2L1F_B 0.98 0.96 1.00 24 2121 0 0 0 0 1
2L1F_A -0.01 0.00 0.00 0 2067 13 2 11 0 24
2L94_A 0.97 0.95 1.00 19 971 0 0 0 0 1
2LC8_A -0.01 0.00 0.00 0 1526 14 2 12 0 20
2WRQ_Y 0.57 0.59 0.56 10 2832 12 5 3 4 7
2WWQ_V 0.64 0.50 0.82 14 2909 4 0 3 1 14
2XKV_B 0.00 0.00 0.00 0 4538 22 5 17 0 20
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
2ZZM_B 0.10 0.09 0.13 3 3462 21 1 20 0 29
2ZZN_D 0.84 0.78 0.91 21 2462 2 0 2 0 6
3A2K_C 0.86 0.75 1.00 21 2905 0 0 0 0 7
3A3A_A 0.53 0.41 0.71 15 3634 6 0 6 0 22
3AKZ_H 0.48 0.43 0.55 12 2679 11 1 9 1 16
3AMU_B 0.18 0.15 0.22 4 2985 16 2 12 2 23
3GX2_A 0.50 0.40 0.64 16 4346 10 1 8 1 24
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3J16_L 0.22 0.17 0.31 5 2759 11 0 11 0 25
3JYV_7 -0.01 0.00 0.00 0 2830 20 0 20 0 32
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.30 0.17 0.54 7 3903 6 0 6 0 35
4AOB_A 0.35 0.26 0.48 11 4348 13 1 11 1 31
4ENB_A 0.43 0.32 0.60 6 1265 4 0 4 0 13
4ENC_A 0.43 0.32 0.60 6 1316 4 0 4 0 13

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

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

Total Base Pair Counts
Total TP 216
Total TN 72739
Total FP 80
Total FP CONTRA 4
Total FP INCONS 71
Total FP COMP 5
Total FN 600
Total Scores
MCC 0.440
Average MCC ± 95% Confidence Intervals 0.374 ± 0.127
Sensitivity 0.265
Positive Predictive Value 0.742
Nr of predictions 31

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.85 0.73 1.00 8 398 0 0 0 0 3
2KE6_A 0.83 0.74 0.93 14 1113 2 0 1 1 5
2KUR_A 0.82 0.71 0.94 15 1112 1 0 1 0 6
2KUU_A 0.79 0.67 0.93 14 1113 2 0 1 1 7
2KUV_A 0.80 0.68 0.94 15 1112 1 0 1 0 7
2KUW_A 0.73 0.62 0.87 13 1113 2 0 2 0 8
2KX8_A 0.00 0.00 0.00 0 860 1 0 1 0 18
2L1F_B 0.85 0.80 0.91 20 2123 2 0 2 0 5
2L1F_A 0.80 0.75 0.86 18 2059 3 0 3 0 6
2L94_A 0.57 0.50 0.67 10 975 5 0 5 0 10
2LC8_A -0.01 0.00 0.00 0 1527 13 0 13 0 20
2WRQ_Y 0.00 0.00 0.00 0 2848 3 1 1 1 17
2WWQ_V 0.00 0.00 0.00 0 2920 6 1 5 0 28
2XKV_B 0.28 0.20 0.40 4 4550 8 2 4 2 16
2XQD_Y 0.00 0.00 0.00 0 2845 5 0 5 0 27
2ZZM_B 0.00 0.00 0.00 0 3482 4 0 4 0 32
2ZZN_D 0.43 0.19 1.00 5 2480 0 0 0 0 22
3A2K_C 0.00 0.00 0.00 0 2924 2 0 2 0 28
3A3A_A 0.48 0.30 0.79 11 3641 3 0 3 0 26
3AKZ_H 0.00 0.00 0.00 0 2699 2 0 2 0 28
3AMU_B 0.00 0.00 0.00 0 3001 2 0 2 0 27
3GX2_A 0.36 0.15 0.86 6 4364 1 0 1 0 34
3IVN_B 0.69 0.52 0.94 16 2329 1 0 1 0 15
3J16_L 0.00 0.00 0.00 0 2774 1 0 1 0 30
3JYV_7 0.00 0.00 0.00 0 2846 4 0 4 0 32
3LA5_A 0.70 0.50 1.00 17 2468 0 0 0 0 17
3RKF_A 0.71 0.53 0.95 18 2192 1 0 1 0 16
3SD1_A 0.00 0.00 0.00 0 3916 0 0 0 0 42
4AOB_A 0.35 0.14 0.86 6 4364 1 0 1 0 36
4ENB_A 0.30 0.16 0.60 3 1270 2 0 2 0 16
4ENC_A 0.30 0.16 0.60 3 1321 2 0 2 0 16

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