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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of PETfold_pre2.0(20) - scored higher in this pairwise comparison

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

  5. Compile and download dataset for PETfold_pre2.0(20) & RSpredict(seed) [.zip] - may take several seconds...


Overview

Metric PETfold_pre2.0(20) RSpredict(seed)
MCC 0.631 > 0.294
Average MCC ± 95% Confidence Intervals 0.628 ± 0.114 > 0.096 ± 0.077
Sensitivity 0.496 > 0.144
Positive Predictive Value 0.804 > 0.602
Total TP 539 > 157
Total TN 532705 < 533114
Total FP 160 > 108
Total FP CONTRA 8 = 8
Total FP INCONS 123 > 96
Total FP COMP 29 > 4
Total FN 548 < 930
P-value 3.13260312532e-08

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Performance plots


  1. Comparison of performance of PETfold_pre2.0(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 PETfold_pre2.0(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 PETfold_pre2.0(20) and RSpredict(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for PETfold_pre2.0(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 PETfold_pre2.0(20) and RSpredict(seed)).

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Performance of PETfold_pre2.0(20) - scored higher in this pairwise comparison

1. Total counts & total scores for PETfold_pre2.0(20)

Total Base Pair Counts
Total TP 539
Total TN 532705
Total FP 160
Total FP CONTRA 8
Total FP INCONS 123
Total FP COMP 29
Total FN 548
Total Scores
MCC 0.631
Average MCC ± 95% Confidence Intervals 0.628 ± 0.114
Sensitivity 0.496
Positive Predictive Value 0.804
Nr of predictions 18

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2. Individual counts for PETfold_pre2.0(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J20_0 0.84 0.70 1.00 21 2829 0 0 0 0 9
3J2C_N 0.60 0.45 0.82 204 428952 46 5 40 1 253
3J2L_3 0.78 0.62 0.97 33 7841 3 0 1 2 20
3J3D_C 0.80 0.68 0.95 19 2755 1 0 1 0 9
3J3E_7 0.74 0.63 0.87 34 7101 5 1 4 0 20
3J3E_8 0.32 0.21 0.50 7 7489 11 0 7 4 26
3J3F_8 0.30 0.25 0.38 9 12222 22 0 15 7 27
3J3F_7 0.78 0.68 0.89 34 7222 5 1 3 1 16
3ZEX_D 0.81 0.71 0.92 35 6983 3 0 3 0 14
3ZEX_C 0.24 0.17 0.35 9 14170 18 0 17 1 43
3ZND_W 0.47 0.43 0.53 10 2984 11 0 9 2 13
4A1C_2 0.19 0.15 0.25 5 11761 25 0 15 10 28
4A1C_3 0.82 0.69 0.97 37 7102 1 0 1 0 17
4AOB_A 0.74 0.60 0.93 25 4344 3 0 2 1 17
4ENB_A 0.61 0.42 0.89 8 1266 1 0 1 0 11
4ENC_A 0.55 0.42 0.73 8 1315 3 0 3 0 11
4FRG_B 0.75 0.63 0.91 20 3464 2 1 1 0 12

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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 157
Total TN 533114
Total FP 108
Total FP CONTRA 8
Total FP INCONS 96
Total FP COMP 4
Total FN 930
Total Scores
MCC 0.294
Average MCC ± 95% Confidence Intervals 0.096 ± 0.077
Sensitivity 0.144
Positive Predictive Value 0.602
Nr of predictions 18

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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
3J20_1 0.09 0.04 0.20 1 2921 4 0 4 0 22
3J20_0 0.00 0.00 0.00 0 2846 4 0 4 0 30
3J2C_N 0.48 0.31 0.76 140 429016 46 3 42 1 317
3J2L_3 0.00 0.00 0.00 0 7870 5 0 5 0 53
3J3D_C 0.00 0.00 0.00 0 2771 4 1 3 0 28
3J3E_7 0.00 0.00 0.00 0 7132 8 0 8 0 54
3J3E_8 0.00 0.00 0.00 0 7503 0 0 0 0 33
3J3F_8 0.14 0.06 0.33 2 12240 5 1 3 1 34
3J3F_7 0.00 0.00 0.00 0 7256 4 0 4 0 50
3ZEX_D 0.00 0.00 0.00 0 7019 2 0 2 0 49
3ZEX_C 0.10 0.04 0.25 2 14188 6 1 5 0 50
3ZND_W 0.00 0.00 0.00 0 3000 4 0 3 1 23
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
4FRG_B 0.00 0.00 0.00 0 3484 2 0 2 0 32

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