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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 0.642 > 0.249
Average MCC ± 95% Confidence Intervals 0.633 ± 0.070 > 0.217 ± 0.109
Sensitivity 0.491 > 0.110
Positive Predictive Value 0.843 > 0.569
Total TP 495 > 111
Total TN 202138 < 202530
Total FP 128 > 88
Total FP CONTRA 20 > 6
Total FP INCONS 72 < 78
Total FP COMP 36 > 4
Total FN 514 < 898
P-value 5.19332990918e-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 495
Total TN 202138
Total FP 128
Total FP CONTRA 20
Total FP INCONS 72
Total FP COMP 36
Total FN 514
Total Scores
MCC 0.642
Average MCC ± 95% Confidence Intervals 0.633 ± 0.070
Sensitivity 0.491
Positive Predictive Value 0.843
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 0.60 0.36 1.00 4 402 0 0 0 0 7
2L94_A 0.53 0.50 0.59 10 973 7 0 7 0 10
2WRQ_Y 0.57 0.59 0.56 10 2832 11 5 3 3 7
2XKV_B 0.45 0.20 1.00 4 4556 3 0 0 3 16
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
2XXA_G 0.41 0.17 1.00 7 5144 0 0 0 0 35
3A2K_C 0.86 0.75 1.00 21 2905 0 0 0 0 7
3AMU_B 0.86 0.74 1.00 20 2983 1 0 0 1 7
3GX2_A 0.77 0.60 1.00 24 4347 1 0 0 1 16
3IVN_B 0.74 0.58 0.95 18 2327 1 1 0 0 13
3IZ4_A 0.53 0.35 0.82 46 70820 15 4 6 5 86
3IZF_C 0.71 0.59 0.86 32 6866 5 1 4 0 22
3JYV_7 0.81 0.66 1.00 21 2829 0 0 0 0 11
3JYX_3 0.60 0.52 0.70 14 6308 17 0 6 11 13
3JYX_4 0.39 0.30 0.50 10 12226 15 0 10 5 23
3LA5_A 0.75 0.56 1.00 19 2466 0 0 0 0 15
3NPB_A 0.68 0.48 0.96 22 6998 3 1 0 2 24
3O58_2 0.79 0.76 0.83 29 7225 7 3 3 1 9
3O58_3 0.37 0.26 0.53 9 12386 8 2 6 0 26
3PDR_A 0.76 0.61 0.96 44 12834 3 0 2 1 28
3RKF_A 0.68 0.50 0.94 17 2193 1 0 1 0 17
3SD1_A 0.70 0.60 0.83 25 3886 5 1 4 0 17
4A1C_2 0.17 0.15 0.19 5 11755 23 2 19 2 28
4A1C_3 0.74 0.57 0.97 31 7108 1 0 1 0 23
4AOB_A 0.72 0.52 1.00 22 4349 1 0 0 1 20
4ENB_A 0.46 0.21 1.00 4 1271 0 0 0 0 15
4ENC_A 0.56 0.32 1.00 6 1320 0 0 0 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 111
Total TN 202530
Total FP 88
Total FP CONTRA 6
Total FP INCONS 78
Total FP COMP 4
Total FN 898
Total Scores
MCC 0.249
Average MCC ± 95% Confidence Intervals 0.217 ± 0.109
Sensitivity 0.110
Positive Predictive Value 0.569
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 0.85 0.73 1.00 8 398 0 0 0 0 3
2L94_A 0.57 0.50 0.67 10 975 5 0 5 0 10
2WRQ_Y 0.00 0.00 0.00 0 2848 3 1 1 1 17
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
2XXA_G 0.34 0.17 0.70 7 5141 3 0 3 0 35
3A2K_C 0.00 0.00 0.00 0 2924 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
3IZ4_A 0.21 0.08 0.59 10 70859 7 0 7 0 122
3IZF_C 0.00 0.00 0.00 0 6898 5 0 5 0 54
3JYV_7 0.00 0.00 0.00 0 2846 4 0 4 0 32
3JYX_3 0.00 0.00 0.00 0 6323 5 1 4 0 27
3JYX_4 0.00 0.00 0.00 0 12241 5 0 5 0 33
3LA5_A 0.70 0.50 1.00 17 2468 0 0 0 0 17
3NPB_A 0.00 0.00 0.00 0 7017 4 0 4 0 46
3O58_2 0.00 0.00 0.00 0 7257 3 0 3 0 38
3O58_3 0.23 0.09 0.60 3 12398 2 0 2 0 32
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
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.