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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Mastr(20) RSpredict(seed)
MCC 0.527 > 0.249
Average MCC ± 95% Confidence Intervals 0.519 ± 0.120 > 0.217 ± 0.109
Sensitivity 0.348 > 0.110
Positive Predictive Value 0.803 > 0.569
Total TP 351 > 111
Total TN 202288 < 202530
Total FP 114 > 88
Total FP CONTRA 13 > 6
Total FP INCONS 73 < 78
Total FP COMP 28 > 4
Total FN 658 < 898
P-value 5.19332990918e-08

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 351
Total TN 202288
Total FP 114
Total FP CONTRA 13
Total FP INCONS 73
Total FP COMP 28
Total FN 658
Total Scores
MCC 0.527
Average MCC ± 95% Confidence Intervals 0.519 ± 0.120
Sensitivity 0.348
Positive Predictive Value 0.803
Nr of predictions 27

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2. Individual counts for Mastr(20) [ 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
2L94_A 0.87 0.80 0.94 16 973 1 0 1 0 4
2WRQ_Y 0.57 0.59 0.56 10 2832 12 5 3 4 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 0.72 0.61 0.85 17 2906 3 0 3 0 11
3AMU_B 0.77 0.59 1.00 16 2987 1 0 0 1 11
3GX2_A 0.39 0.28 0.55 11 4351 10 0 9 1 29
3IVN_B 0.78 0.65 0.95 20 2325 1 1 0 0 11
3IZ4_A 0.00 0.00 0.00 0 70876 0 0 0 0 132
3IZF_C 0.73 0.63 0.85 34 6863 7 1 5 1 20
3JYV_7 0.81 0.66 1.00 21 2829 0 0 0 0 11
3JYX_3 0.56 0.56 0.58 15 6302 23 1 10 12 12
3JYX_4 0.00 0.00 0.00 0 12246 0 0 0 0 33
3LA5_A 0.76 0.59 1.00 20 2465 0 0 0 0 14
3NPB_A 0.30 0.24 0.39 11 6993 18 1 16 1 35
3O58_2 0.76 0.76 0.76 29 7222 12 3 6 3 9
3O58_3 0.00 0.00 0.00 0 12403 0 0 0 0 35
3PDR_A 0.00 0.00 0.00 0 12880 0 0 0 0 72
3RKF_A 0.70 0.50 1.00 17 2194 0 0 0 0 17
3SD1_A 0.61 0.50 0.75 21 3888 7 1 6 0 21
4A1C_2 0.00 0.00 0.00 0 11781 0 0 0 0 33
4A1C_3 0.70 0.59 0.84 32 7102 7 0 6 1 22
4AOB_A 0.39 0.26 0.58 11 4352 9 0 8 1 31
4ENB_A 0.39 0.16 1.00 3 1272 0 0 0 0 16
4ENC_A 0.51 0.26 1.00 5 1321 0 0 0 0 14

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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.