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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Murlet(20) RSpredict(seed)
MCC 0.698 > 0.298
Average MCC ± 95% Confidence Intervals 0.700 ± 0.074 > 0.246 ± 0.122
Sensitivity 0.590 > 0.156
Positive Predictive Value 0.832 > 0.582
Total TP 417 > 110
Total TN 74902 < 75214
Total FP 150 > 89
Total FP CONTRA 21 > 14
Total FP INCONS 63 < 65
Total FP COMP 66 > 10
Total FN 290 < 597
P-value 3.56938820447e-08

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 417
Total TN 74902
Total FP 150
Total FP CONTRA 21
Total FP INCONS 63
Total FP COMP 66
Total FN 290
Total Scores
MCC 0.698
Average MCC ± 95% Confidence Intervals 0.700 ± 0.074
Sensitivity 0.590
Positive Predictive Value 0.832
Nr of predictions 27

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.70 0.50 1.00 5 169 0 0 0 0 5
2L94_A 0.51 0.50 0.56 9 341 8 0 7 1 9
2WRQ_Y 0.63 0.67 0.60 6 1142 13 1 3 9 3
2XKV_B 0.60 0.36 1.00 4 1831 3 0 0 3 7
2XQD_Y 0.88 0.86 0.90 18 1109 3 0 2 1 3
2XXA_G 0.44 0.20 1.00 7 2038 0 0 0 0 28
3A2K_C 0.88 0.86 0.90 19 1087 2 0 2 0 3
3AMU_B 0.89 0.89 0.89 17 1138 4 0 2 2 2
3GX2_A 0.73 0.54 1.00 15 1434 1 0 0 1 13
3IVN_B 0.80 0.65 1.00 15 888 0 0 0 0 8
3IZ4_A 0.46 0.33 0.66 31 25489 22 3 13 6 64
3IZF_C 0.88 0.83 0.94 29 2609 5 0 2 3 6
3JYV_7 0.84 0.80 0.89 16 1093 4 0 2 2 4
3JYX_3 0.76 0.73 0.79 11 2364 14 0 3 11 4
3JYX_4 0.72 0.75 0.69 9 4743 15 3 1 11 3
3LA5_A 0.80 0.64 1.00 16 938 0 0 0 0 9
3NPB_A 0.65 0.43 1.00 16 2262 2 0 0 2 21
3O58_2 1.00 1.00 1.00 31 2723 2 0 0 2 0
3O58_3 0.37 0.32 0.44 7 4748 13 4 5 4 15
3PDR_A 0.84 0.76 0.93 38 4799 3 1 2 0 12
3RKF_A 0.81 0.67 1.00 16 850 0 0 0 0 8
3SD1_A 0.82 0.83 0.83 24 1504 5 4 1 0 5
4A1C_2 0.22 0.25 0.20 5 4491 24 5 15 4 15
4A1C_3 0.72 0.59 0.88 22 2738 4 0 3 1 15
4AOB_A 0.87 0.76 1.00 22 1415 3 0 0 3 7
4ENB_A 0.51 0.27 1.00 4 468 0 0 0 0 11
4ENC_A 0.57 0.33 1.00 5 491 0 0 0 0 10

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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.