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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric MCFold RSpredict(seed)
MCC 0.448 > 0.226
Average MCC ± 95% Confidence Intervals 0.457 ± 0.091 > 0.179 ± 0.108
Sensitivity 0.472 > 0.101
Positive Predictive Value 0.433 < 0.517
Total TP 422 > 90
Total TN 125725 < 126525
Total FP 603 > 86
Total FP CONTRA 82 > 5
Total FP INCONS 470 > 79
Total FP COMP 51 > 2
Total FN 473 < 805
P-value 5.19332990918e-08

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Performance plots


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

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

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Performance of MCFold - scored higher in this pairwise comparison

1. Total counts & total scores for MCFold

Total Base Pair Counts
Total TP 422
Total TN 125725
Total FP 603
Total FP CONTRA 82
Total FP INCONS 470
Total FP COMP 51
Total FN 473
Total Scores
MCC 0.448
Average MCC ± 95% Confidence Intervals 0.457 ± 0.091
Sensitivity 0.472
Positive Predictive Value 0.433
Nr of predictions 28

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2. Individual counts for MCFold [ 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 1 0 0 1 1
2KX8_A 0.91 0.89 0.94 16 844 2 0 1 1 2
2LC8_A 0.41 0.45 0.39 9 1517 16 0 14 2 11
2WRQ_Y 0.27 0.35 0.22 6 2823 25 8 13 4 11
2WWQ_V 0.15 0.18 0.15 5 2892 30 4 25 1 23
2XQD_Y 0.34 0.37 0.32 10 2819 22 1 20 1 17
2ZZN_D 0.61 0.63 0.61 17 2457 13 1 10 2 10
3A2K_C 0.44 0.46 0.42 13 2895 18 2 16 0 15
3A3A_A 0.89 0.86 0.91 32 3620 3 1 2 0 5
3AKZ_H 0.40 0.43 0.39 12 2670 19 3 16 0 16
3AMU_B 0.44 0.48 0.42 13 2972 18 2 16 0 14
3GX2_A 0.47 0.48 0.48 19 4331 22 0 21 1 21
3IVN_B 0.39 0.39 0.40 12 2316 18 0 18 0 19
3IZF_C 0.71 0.69 0.74 37 6853 14 0 13 1 17
3J16_L 0.45 0.47 0.44 14 2743 19 1 17 1 16
3JYV_7 0.21 0.22 0.21 7 2817 26 0 26 0 25
3JYX_4 0.20 0.24 0.17 8 12199 43 16 23 4 25
3JYX_3 0.41 0.52 0.33 14 6285 34 12 17 5 13
3LA5_A 0.32 0.32 0.34 11 2453 21 1 20 0 23
3O58_3 0.22 0.26 0.19 9 12355 45 9 30 6 26
3O58_2 0.20 0.24 0.17 9 7208 44 5 38 1 29
3PDR_A 0.66 0.61 0.72 44 12819 19 0 17 2 28
3RKF_A 0.70 0.65 0.76 22 2182 7 1 6 0 12
3SD1_A 0.33 0.33 0.35 14 3876 26 0 26 0 28
4A1C_2 0.13 0.15 0.11 5 11735 56 10 31 15 28
4A1C_3 0.68 0.67 0.71 36 7089 17 1 14 2 18
4ENB_A 0.61 0.63 0.60 12 1255 8 2 6 0 7
4ENC_A 0.28 0.32 0.27 6 1304 17 2 14 1 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 90
Total TN 126525
Total FP 86
Total FP CONTRA 5
Total FP INCONS 79
Total FP COMP 2
Total FN 805
Total Scores
MCC 0.226
Average MCC ± 95% Confidence Intervals 0.179 ± 0.108
Sensitivity 0.101
Positive Predictive Value 0.517
Nr of predictions 28

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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
2KX8_A 0.00 0.00 0.00 0 860 1 0 1 0 18
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
2XQD_Y 0.00 0.00 0.00 0 2845 5 0 5 0 27
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
3IZF_C 0.00 0.00 0.00 0 6898 5 0 5 0 54
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
3JYX_4 0.00 0.00 0.00 0 12241 5 0 5 0 33
3JYX_3 0.00 0.00 0.00 0 6323 5 1 4 0 27
3LA5_A 0.70 0.50 1.00 17 2468 0 0 0 0 17
3O58_3 0.23 0.09 0.60 3 12398 2 0 2 0 32
3O58_2 0.00 0.00 0.00 0 7257 3 0 3 0 38
3PDR_A 0.00 0.00 0.00 0 12872 8 0 8 0 72
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
4A1C_2 0.00 0.00 0.00 0 11777 5 1 3 1 33
4A1C_3 0.00 0.00 0.00 0 7136 4 1 3 0 54
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.