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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric MXScarna(seed) PPfold(seed)
MCC 0.612 > 0.207
Average MCC ± 95% Confidence Intervals 0.563 ± 0.136 > 0.105 ± 0.116
Sensitivity 0.553 > 0.070
Positive Predictive Value 0.685 > 0.634
Total TP 207 > 26
Total TN 31441 < 31702
Total FP 147 > 80
Total FP CONTRA 30 > 1
Total FP INCONS 65 > 14
Total FP COMP 52 < 65
Total FN 167 < 348
P-value 2.34821445183e-08

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Performance plots


  1. Comparison of performance of MXScarna(seed) and PPfold(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 MXScarna(seed) and PPfold(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 MXScarna(seed) and PPfold(seed)).

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

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

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

Total Base Pair Counts
Total TP 207
Total TN 31441
Total FP 147
Total FP CONTRA 30
Total FP INCONS 65
Total FP COMP 52
Total FN 167
Total Scores
MCC 0.612
Average MCC ± 95% Confidence Intervals 0.563 ± 0.136
Sensitivity 0.553
Positive Predictive Value 0.685
Nr of predictions 16

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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_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
3RKF_A 0.86 0.75 1.00 18 848 0 0 0 0 6
3SD1_A 0.74 0.76 0.73 22 1503 9 4 4 1 7
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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Performance of PPfold(seed) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 26
Total TN 31702
Total FP 80
Total FP CONTRA 1
Total FP INCONS 14
Total FP COMP 65
Total FN 348
Total Scores
MCC 0.207
Average MCC ± 95% Confidence Intervals 0.105 ± 0.116
Sensitivity 0.070
Positive Predictive Value 0.634
Nr of predictions 16

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.49 0.33 0.75 6 520 2 0 2 0 12
3J20_0 0.00 0.00 0.00 0 1219 0 0 0 0 21
3J3E_8 0.00 0.00 0.00 0 2742 6 0 0 6 15
3J3F_8 0.19 0.11 0.33 2 4755 24 0 4 20 17
3RKF_A 0.00 0.00 0.00 0 866 0 0 0 0 24
3SD1_A 0.00 0.00 0.00 0 1533 0 0 0 0 29
3W1K_J 0.00 0.00 0.00 0 1678 0 0 0 0 31
3W3S_B 0.00 0.00 0.00 0 1989 0 0 0 0 33
3ZEX_C 0.15 0.07 0.33 2 5368 24 0 4 20 27
4A1C_2 0.10 0.05 0.20 1 4511 23 0 4 19 19
4AOB_A 0.00 0.00 0.00 0 1437 0 0 0 0 29
4ENB_A 0.00 0.00 0.00 0 472 0 0 0 0 15
4ENC_A 0.00 0.00 0.00 0 496 0 0 0 0 15
4FRG_B 0.00 0.00 0.00 0 1202 0 0 0 0 24
4FRN_A 0.00 0.00 0.00 0 1848 0 0 0 0 28
4JF2_A 0.76 0.63 0.94 15 1066 1 1 0 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.