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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(20) - scored lower in this pairwise comparison

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


Overview

Metric Murlet(seed) RSpredict(20)
MCC 0.587 > 0.566
Average MCC ± 95% Confidence Intervals 0.587 ± 0.038 > 0.543 ± 0.154
Sensitivity 0.377 < 0.489
Positive Predictive Value 0.921 > 0.666
Total TP 152 < 197
Total TN 33510 > 33379
Total FP 25 < 135
Total FP CONTRA 4 < 48
Total FP INCONS 9 < 51
Total FP COMP 12 < 36
Total FN 251 > 206
P-value 2.52316175909e-05

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Performance plots


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

  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(20)).

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

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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 152
Total TN 33510
Total FP 25
Total FP CONTRA 4
Total FP INCONS 9
Total FP COMP 12
Total FN 251
Total Scores
MCC 0.587
Average MCC ± 95% Confidence Intervals 0.587 ± 0.038
Sensitivity 0.377
Positive Predictive Value 0.921
Nr of predictions 17

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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
2L94_A 0.57 0.39 0.88 7 349 2 0 1 1 11
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
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(20) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 197
Total TN 33379
Total FP 135
Total FP CONTRA 48
Total FP INCONS 51
Total FP COMP 36
Total FN 206
Total Scores
MCC 0.566
Average MCC ± 95% Confidence Intervals 0.543 ± 0.154
Sensitivity 0.489
Positive Predictive Value 0.666
Nr of predictions 17

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2. Individual counts for RSpredict(20) [ 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 0.53 0.50 0.60 9 342 7 0 6 1 9
2XKV_B 0.00 0.00 0.00 0 1831 4 1 3 0 11
2XXA_G 0.50 0.26 1.00 9 2036 0 0 0 0 26
3GX2_A 0.40 0.21 0.75 6 1441 2 1 1 0 22
3IVN_B 0.91 0.87 0.95 20 882 1 1 0 0 3
3JYX_4 0.59 0.75 0.47 9 4737 33 9 1 23 3
3LA5_A 0.89 0.80 1.00 20 934 0 0 0 0 5
3NPB_A -0.01 0.00 0.00 0 2272 6 1 5 0 37
3O58_3 0.38 0.50 0.30 11 4727 29 15 11 3 11
3PDR_A 0.80 0.70 0.92 35 4802 5 1 2 2 15
3RKF_A 0.91 0.88 0.95 21 844 1 1 0 0 3
3SD1_A 0.82 0.86 0.78 25 1501 7 5 2 0 4
4A1C_2 0.25 0.30 0.21 6 4487 30 12 11 7 14
4AOB_A 0.33 0.21 0.55 6 1426 5 1 4 0 23
4ENB_A 0.54 0.40 0.75 6 464 2 0 2 0 9
4ENC_A 0.51 0.40 0.67 6 487 3 0 3 0 9

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Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.