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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 0.657 > 0.232
Average MCC ± 95% Confidence Intervals 0.655 ± 0.074 > 0.195 ± 0.119
Sensitivity 0.511 > 0.097
Positive Predictive Value 0.848 > 0.563
Total TP 474 > 90
Total TN 191465 < 191864
Total FP 118 > 72
Total FP CONTRA 20 > 4
Total FP INCONS 65 < 66
Total FP COMP 33 > 2
Total FN 453 < 837
P-value 5.1503931209e-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 474
Total TN 191465
Total FP 118
Total FP CONTRA 20
Total FP INCONS 65
Total FP COMP 33
Total FN 453
Total Scores
MCC 0.657
Average MCC ± 95% Confidence Intervals 0.655 ± 0.074
Sensitivity 0.511
Positive Predictive Value 0.848
Nr of predictions 24

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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
2WRQ_Y 0.57 0.59 0.56 10 2832 11 5 3 3 7
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
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_4 0.39 0.30 0.50 10 12226 15 0 10 5 23
3JYX_3 0.60 0.52 0.70 14 6308 17 0 6 11 13
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_3 0.74 0.57 0.97 31 7108 1 0 1 0 23
4A1C_2 0.17 0.15 0.19 5 11755 23 2 19 2 28
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 90
Total TN 191864
Total FP 72
Total FP CONTRA 4
Total FP INCONS 66
Total FP COMP 2
Total FN 837
Total Scores
MCC 0.232
Average MCC ± 95% Confidence Intervals 0.195 ± 0.119
Sensitivity 0.097
Positive Predictive Value 0.563
Nr of predictions 24

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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
2WRQ_Y 0.00 0.00 0.00 0 2848 3 1 1 1 17
2XQD_Y 0.00 0.00 0.00 0 2845 5 0 5 0 27
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_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
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_3 0.00 0.00 0.00 0 7136 4 1 3 0 54
4A1C_2 0.00 0.00 0.00 0 11777 5 1 3 1 33
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.