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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric PETfold_pre2.0(seed) MXScarna(seed)
MCC 0.830 > 0.728
Average MCC ± 95% Confidence Intervals 0.766 ± 0.076 > 0.549 ± 0.142
Sensitivity 0.798 > 0.688
Positive Predictive Value 0.863 > 0.772
Total TP 585 > 504
Total TN 451034 < 451059
Total FP 212 < 285
Total FP CONTRA 32 < 40
Total FP INCONS 61 < 109
Total FP COMP 119 < 136
Total FN 148 < 229
P-value 2.26346675981e-08

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Performance plots


  1. Comparison of performance of PETfold_pre2.0(seed) and MXScarna(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(seed) and MXScarna(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(seed) and MXScarna(seed)).

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

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

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

Total Base Pair Counts
Total TP 585
Total TN 451034
Total FP 212
Total FP CONTRA 32
Total FP INCONS 61
Total FP COMP 119
Total FN 148
Total Scores
MCC 0.830
Average MCC ± 95% Confidence Intervals 0.766 ± 0.076
Sensitivity 0.798
Positive Predictive Value 0.863
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.41 0.33 0.55 6 517 5 0 5 0 12
3J20_2 0.86 0.86 0.86 356 421956 129 18 38 73 56
3J20_0 0.95 0.95 0.95 20 1198 2 1 0 1 1
3J3E_8 0.71 0.67 0.77 10 2729 8 1 2 5 5
3J3F_8 0.86 0.84 0.89 16 4743 13 2 0 11 3
3W1K_J 0.85 0.81 0.89 25 1650 4 2 1 1 6
3W3S_B 0.80 0.73 0.89 24 1962 6 1 2 3 9
3ZEX_C 0.70 0.59 0.85 17 5354 12 1 2 9 12
4A1C_2 0.79 0.75 0.83 15 4498 12 1 2 9 5
4AOB_A 0.85 0.79 0.92 23 1412 4 0 2 2 6
4ENB_A 0.61 0.53 0.73 8 461 5 1 2 2 7
4ENC_A 0.61 0.53 0.73 8 485 5 1 2 2 7
4FRG_B 0.87 0.83 0.91 20 1180 3 0 2 1 4
4FRN_A 0.83 0.79 0.88 22 1823 3 2 1 0 6
4JF2_A 0.76 0.63 0.94 15 1066 1 1 0 0 9

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Performance of MXScarna(seed) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 504
Total TN 451059
Total FP 285
Total FP CONTRA 40
Total FP INCONS 109
Total FP COMP 136
Total FN 229
Total Scores
MCC 0.728
Average MCC ± 95% Confidence Intervals 0.549 ± 0.142
Sensitivity 0.688
Positive Predictive Value 0.772
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A -0.03 0.00 0.00 0 518 12 0 10 2 18
3J20_2 0.83 0.82 0.84 337 421969 147 14 48 85 75
3J20_0 0.90 0.86 0.95 18 1200 1 1 0 0 3
3J3E_8 0.23 0.20 0.27 3 2731 14 3 5 6 12
3J3F_8 0.48 0.47 0.50 9 4743 21 5 4 12 10
3W1K_J 0.92 0.90 0.93 28 1648 3 1 1 1 3
3W3S_B 0.74 0.70 0.79 23 1960 7 0 6 1 10
3ZEX_C 0.39 0.31 0.50 9 5356 21 3 6 12 20
4A1C_2 0.45 0.40 0.50 8 4500 20 4 4 12 12
4AOB_A 0.71 0.69 0.74 20 1410 10 2 5 3 9
4ENB_A 0.54 0.40 0.75 6 464 2 0 2 0 9
4ENC_A 0.48 0.40 0.60 6 486 4 1 3 0 9
4FRG_B 0.49 0.42 0.59 10 1185 8 2 5 1 14
4FRN_A 0.70 0.68 0.73 19 1822 7 3 4 0 9
4JF2_A 0.41 0.33 0.53 8 1067 8 1 6 1 16

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