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Table of contents:

  1. Overview

  2. Performance Plots

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

  4. Performance of Murlet(20) - scored lower in this pairwise comparison

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


Overview

Metric RNASampler(20) Murlet(20)
MCC 0.692 > 0.625
Average MCC ± 95% Confidence Intervals 0.707 ± 0.111 > 0.627 ± 0.101
Sensitivity 0.621 > 0.530
Positive Predictive Value 0.776 > 0.744
Total TP 361 > 308
Total TN 68064 < 68115
Total FP 165 > 142
Total FP CONTRA 42 > 28
Total FP INCONS 62 < 78
Total FP COMP 61 > 36
Total FN 220 < 273
P-value 4.98172311752e-08

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Performance plots


  1. Comparison of performance of RNASampler(20) and Murlet(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 RNASampler(20) and Murlet(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 RNASampler(20) and Murlet(20)).

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

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

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

Total Base Pair Counts
Total TP 361
Total TN 68064
Total FP 165
Total FP CONTRA 42
Total FP INCONS 62
Total FP COMP 61
Total FN 220
Total Scores
MCC 0.692
Average MCC ± 95% Confidence Intervals 0.707 ± 0.111
Sensitivity 0.621
Positive Predictive Value 0.776
Nr of predictions 21

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3A2K_C 0.98 0.95 1.00 21 1087 0 0 0 0 1
3GX2_A 0.88 0.79 1.00 22 1427 1 0 0 1 6
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.52 0.41 0.65 39 25476 26 15 6 5 56
3J20_0 0.90 0.90 0.90 19 1198 3 1 1 1 2
3J3D_C 0.90 0.95 0.86 18 947 3 3 0 0 1
3J3E_8 0.19 0.20 0.19 3 2726 21 5 8 8 12
3J3F_8 0.43 0.47 0.39 9 4738 20 6 8 6 10
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3LA5_A 0.89 0.80 1.00 20 934 0 0 0 0 5
3NPB_A 0.75 0.57 1.00 21 2257 5 0 0 5 16
3O58_3 0.51 0.50 0.52 11 4743 19 5 5 9 11
3PDR_A 0.84 0.76 0.93 38 4799 5 1 2 2 12
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.81 0.69 0.95 20 1512 1 0 1 0 9
3ZEX_C 0.35 0.31 0.39 9 5351 21 3 11 7 20
4A1C_2 0.24 0.25 0.24 5 4495 30 3 13 14 15
4AOB_A 0.70 0.59 0.85 17 1417 4 0 3 1 12
4ENB_A 0.68 0.47 1.00 7 465 0 0 0 0 8
4ENC_A 0.85 0.73 1.00 11 485 0 0 0 0 4
4FRG_B 0.64 0.54 0.76 13 1185 4 0 4 0 11

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

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

Total Base Pair Counts
Total TP 308
Total TN 68115
Total FP 142
Total FP CONTRA 28
Total FP INCONS 78
Total FP COMP 36
Total FN 273
Total Scores
MCC 0.625
Average MCC ± 95% Confidence Intervals 0.627 ± 0.101
Sensitivity 0.530
Positive Predictive Value 0.744
Nr of predictions 21

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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
3A2K_C 0.88 0.86 0.90 19 1087 2 0 2 0 3
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
3J20_0 0.65 0.62 0.68 13 1200 6 1 5 0 8
3J3D_C 0.84 0.84 0.84 16 949 3 3 0 0 3
3J3E_8 0.35 0.33 0.38 5 2729 13 2 6 5 10
3J3F_8 0.54 0.53 0.56 10 4743 13 2 6 5 9
3JYV_7 0.84 0.80 0.89 16 1093 4 0 2 2 4
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_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
3ZEX_C 0.42 0.38 0.48 11 5351 16 2 10 4 18
4A1C_2 0.22 0.25 0.20 5 4491 24 5 15 4 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
4FRG_B 0.19 0.17 0.25 4 1186 12 1 11 0 20

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