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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of RNAalifold(20) - scored higher in this pairwise comparison

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

  5. Compile and download dataset for RNAalifold(20) & RSpredict(seed) [.zip] - may take several seconds...


Overview

Metric RNAalifold(20) RSpredict(seed)
MCC 0.775 > 0.298
Average MCC ± 95% Confidence Intervals 0.765 ± 0.083 > 0.246 ± 0.122
Sensitivity 0.682 > 0.156
Positive Predictive Value 0.884 > 0.582
Total TP 482 > 110
Total TN 74858 < 75214
Total FP 141 > 89
Total FP CONTRA 21 > 14
Total FP INCONS 42 < 65
Total FP COMP 78 > 10
Total FN 225 < 597
P-value 5.23657817852e-08

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Performance plots


  1. Comparison of performance of RNAalifold(20) 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 RNAalifold(20) 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 RNAalifold(20) and RSpredict(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAalifold(20) 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 RNAalifold(20) and RSpredict(seed)).

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Performance of RNAalifold(20) - scored higher in this pairwise comparison

1. Total counts & total scores for RNAalifold(20)

Total Base Pair Counts
Total TP 482
Total TN 74858
Total FP 141
Total FP CONTRA 21
Total FP INCONS 42
Total FP COMP 78
Total FN 225
Total Scores
MCC 0.775
Average MCC ± 95% Confidence Intervals 0.765 ± 0.083
Sensitivity 0.682
Positive Predictive Value 0.884
Nr of predictions 27

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2. Individual counts for RNAalifold(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.62 0.40 1.00 4 170 0 0 0 0 6
2L94_A 0.51 0.50 0.56 9 341 8 0 7 1 9
2WRQ_Y 1.00 1.00 1.00 9 1143 12 0 0 12 0
2XKV_B 0.60 0.36 1.00 4 1831 3 0 0 3 7
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.44 0.20 1.00 7 2038 0 0 0 0 28
3A2K_C 0.98 0.95 1.00 21 1087 0 0 0 0 1
3AMU_B 1.00 1.00 1.00 19 1138 2 0 0 2 0
3GX2_A 0.92 0.86 1.00 24 1425 1 0 0 1 4
3IVN_B 0.86 0.78 0.95 18 884 1 1 0 0 5
3IZ4_A 0.65 0.48 0.87 46 25483 15 4 3 8 49
3IZF_C 0.90 0.89 0.91 31 2606 6 0 3 3 4
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3JYX_3 0.76 0.73 0.79 11 2364 20 0 3 17 4
3JYX_4 0.77 0.83 0.71 10 4742 15 3 1 11 2
3LA5_A 0.87 0.76 1.00 19 935 0 0 0 0 6
3NPB_A 0.75 0.57 1.00 21 2257 4 0 0 4 16
3O58_2 0.97 0.94 1.00 29 2725 7 0 0 7 2
3O58_3 0.42 0.36 0.50 8 4748 9 3 5 1 14
3PDR_A 0.92 0.88 0.96 44 4794 3 1 1 1 6
3RKF_A 0.81 0.71 0.94 17 848 1 0 1 0 7
3SD1_A 0.84 0.86 0.83 25 1503 5 4 1 0 4
4A1C_2 0.22 0.25 0.19 5 4490 23 5 16 2 15
4A1C_3 0.90 0.84 0.97 31 2731 1 0 1 0 6
4AOB_A 0.85 0.72 1.00 21 1416 2 0 0 2 8
4ENB_A 0.51 0.27 1.00 4 468 0 0 0 0 11
4ENC_A 0.63 0.40 1.00 6 490 0 0 0 0 9

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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 110
Total TN 75214
Total FP 89
Total FP CONTRA 14
Total FP INCONS 65
Total FP COMP 10
Total FN 597
Total Scores
MCC 0.298
Average MCC ± 95% Confidence Intervals 0.246 ± 0.122
Sensitivity 0.156
Positive Predictive Value 0.582
Nr of predictions 27

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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 0.89 0.80 1.00 8 166 0 0 0 0 2
2L94_A 0.55 0.50 0.64 9 343 6 0 5 1 9
2WRQ_Y 0.00 0.00 0.00 0 1150 3 1 1 1 9
2XKV_B 0.38 0.36 0.40 4 1825 8 4 2 2 7
2XQD_Y -0.01 0.00 0.00 0 1124 5 0 5 0 21
2XXA_G 0.37 0.20 0.70 7 2035 3 0 3 0 28
3A2K_C -0.01 0.00 0.00 0 1106 2 0 2 0 22
3AMU_B -0.01 0.00 0.00 0 1155 2 0 2 0 19
3GX2_A 0.42 0.21 0.86 6 1442 1 0 1 0 22
3IVN_B 0.81 0.70 0.94 16 886 1 1 0 0 7
3IZ4_A 0.26 0.11 0.63 10 25520 7 2 4 1 85
3IZF_C 0.00 0.00 0.00 0 2635 5 0 5 0 35
3JYV_7 -0.01 0.00 0.00 0 1108 4 0 3 1 20
3JYX_3 0.00 0.00 0.00 0 2373 5 1 4 0 15
3JYX_4 0.00 0.00 0.00 0 4754 5 0 2 3 12
3LA5_A 0.82 0.68 1.00 17 937 0 0 0 0 8
3NPB_A -0.01 0.00 0.00 0 2274 4 0 4 0 37
3O58_2 0.00 0.00 0.00 0 2751 3 0 3 0 31
3O58_3 0.28 0.14 0.60 3 4759 2 0 2 0 19
3PDR_A 0.00 0.00 0.00 0 4832 8 0 8 0 50
3RKF_A 0.84 0.75 0.95 18 847 1 1 0 0 6
3SD1_A 0.00 0.00 0.00 0 1533 0 0 0 0 29
4A1C_2 0.00 0.00 0.00 0 4512 5 2 2 1 20
4A1C_3 0.00 0.00 0.00 0 2759 4 2 2 0 37
4AOB_A 0.42 0.21 0.86 6 1430 1 0 1 0 23
4ENB_A 0.34 0.20 0.60 3 467 2 0 2 0 12
4ENC_A 0.34 0.20 0.60 3 491 2 0 2 0 12

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