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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Murlet(seed) RSpredict(seed)
MCC 0.620 > 0.527
Average MCC ± 95% Confidence Intervals 0.616 ± 0.071 > 0.491 ± 0.138
Sensitivity 0.442 > 0.371
Positive Predictive Value 0.879 > 0.760
Total TP 261 > 219
Total TN 39250 < 39259
Total FP 49 < 79
Total FP CONTRA 4 < 8
Total FP INCONS 32 < 61
Total FP COMP 13 > 10
Total FN 329 < 371
P-value 5.19332990918e-08

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 261
Total TN 39250
Total FP 49
Total FP CONTRA 4
Total FP INCONS 32
Total FP COMP 13
Total FN 329
Total Scores
MCC 0.620
Average MCC ± 95% Confidence Intervals 0.616 ± 0.071
Sensitivity 0.442
Positive Predictive Value 0.879
Nr of predictions 26

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.54 0.30 1.00 3 171 0 0 0 0 7
2KE6_A 0.67 0.56 0.83 10 455 2 0 2 0 8
2KUR_A 0.65 0.53 0.83 10 455 2 0 2 0 9
2KUU_A 0.67 0.56 0.83 10 435 2 0 2 0 8
2KUV_A 0.91 0.84 1.00 16 423 0 0 0 0 3
2KUW_A 0.88 0.83 0.94 15 454 2 0 1 1 3
2L1F_B 0.82 0.75 0.90 18 771 2 0 2 0 6
2L1F_A 0.83 0.78 0.90 18 743 2 0 2 0 5
2L94_A 0.57 0.39 0.88 7 349 2 0 1 1 11
2LC8_A -0.03 0.00 0.00 0 516 12 0 12 0 18
2XKV_B 0.60 0.36 1.00 4 1831 2 0 0 2 7
2XXA_G 0.41 0.17 1.00 6 2039 0 0 0 0 29
3A3A_A 0.63 0.40 1.00 12 1488 0 0 0 0 18
3GX2_A 0.70 0.50 1.00 14 1435 1 0 0 1 14
3IVN_B 0.62 0.52 0.75 12 887 4 2 2 0 11
3JYX_4 0.50 0.25 1.00 3 4753 4 0 0 4 9
3LA5_A 0.67 0.56 0.82 14 937 3 1 2 0 11
3NPB_A 0.59 0.35 1.00 13 2265 2 0 0 2 24
3O58_3 0.52 0.27 1.00 6 4758 1 0 0 1 16
3PDR_A 0.53 0.28 1.00 14 4826 0 0 0 0 36
3RKF_A 0.62 0.50 0.80 12 851 3 1 2 0 12
3SD1_A 0.56 0.38 0.85 11 1520 2 0 2 0 18
4A1C_2 0.59 0.35 1.00 7 4509 0 0 0 0 13
4AOB_A 0.69 0.48 1.00 14 1423 1 0 0 1 15
4ENB_A 0.63 0.40 1.00 6 466 0 0 0 0 9
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 219
Total TN 39259
Total FP 79
Total FP CONTRA 8
Total FP INCONS 61
Total FP COMP 10
Total FN 371
Total Scores
MCC 0.527
Average MCC ± 95% Confidence Intervals 0.491 ± 0.138
Sensitivity 0.371
Positive Predictive Value 0.760
Nr of predictions 26

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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
2KE6_A 0.85 0.78 0.93 14 452 2 0 1 1 4
2KUR_A 0.86 0.79 0.94 15 451 1 0 1 0 4
2KUU_A 0.85 0.78 0.93 14 432 2 0 1 1 4
2KUV_A 0.85 0.79 0.94 15 423 1 0 1 0 4
2KUW_A 0.75 0.67 0.86 12 456 3 0 2 1 6
2L1F_B 0.87 0.83 0.91 20 769 2 0 2 0 4
2L1F_A 0.81 0.78 0.86 18 742 3 0 3 0 5
2L94_A 0.55 0.50 0.64 9 343 6 0 5 1 9
2LC8_A -0.03 0.00 0.00 0 515 13 0 13 0 18
2XKV_B 0.38 0.36 0.40 4 1825 8 4 2 2 7
2XXA_G 0.37 0.20 0.70 7 2035 3 0 3 0 28
3A3A_A 0.53 0.37 0.79 11 1486 3 0 3 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
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_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
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.