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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of ContextFold - scored higher in this pairwise comparison

  4. Performance of IPknot - scored lower in this pairwise comparison

  5. Compile and download dataset for ContextFold & IPknot [.zip] - may take several seconds...


Overview

Metric ContextFold IPknot
MCC 0.816 > 0.765
Average MCC ± 95% Confidence Intervals 0.817 ± 0.106 > 0.776 ± 0.120
Sensitivity 0.780 > 0.735
Positive Predictive Value 0.861 > 0.805
Total TP 347 > 327
Total TN 24020 > 24017
Total FP 103 < 127
Total FP CONTRA 9 < 18
Total FP INCONS 47 < 61
Total FP COMP 47 < 48
Total FN 98 < 118
P-value 3.56938820447e-08

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Performance plots


  1. Comparison of performance of ContextFold and IPknot. 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 ContextFold and IPknot).

  2. Comparison of average Matthews Correlation Coefficients (MCCs) for ContextFold and IPknot. 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 ContextFold and IPknot).

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Performance of ContextFold - scored higher in this pairwise comparison

1. Total counts & total scores for ContextFold

Total Base Pair Counts
Total TP 347
Total TN 24020
Total FP 103
Total FP CONTRA 9
Total FP INCONS 47
Total FP COMP 47
Total FN 98
Total Scores
MCC 0.816
Average MCC ± 95% Confidence Intervals 0.817 ± 0.106
Sensitivity 0.780
Positive Predictive Value 0.861
Nr of predictions 30

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2. Individual counts for ContextFold [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.58 0.56 0.63 10 512 6 0 6 0 8
2LDL_A - 1.00 1.00 1.00 9 131 0 0 0 0 0
2LHP_A - 1.00 1.00 1.00 15 246 0 0 0 0 0
2LI4_A - 1.00 1.00 1.00 14 175 0 0 0 0 0
2LJJ_A - 0.92 0.86 1.00 6 124 3 0 0 3 1
2LK3_A - 0.94 0.89 1.00 8 92 0 0 0 0 1
2LKR_A - 0.70 0.66 0.76 19 2415 12 0 6 6 10
2LQZ_A - 1.00 1.00 1.00 8 124 1 0 0 1 0
2LWK_A - 1.00 1.00 1.00 11 196 1 0 0 1 0
3J0L_8 - 1.00 1.00 1.00 7 69 0 0 0 0 0
3J0L_a - 0.80 0.73 0.89 8 402 2 0 1 1 3
3J0L_1 - 0.75 0.69 0.82 9 473 5 0 2 3 4
3J0L_h - 0.95 0.91 1.00 29 2111 2 0 0 2 3
3J0L_7 - -0.02 0.00 0.00 0 506 13 3 10 0 10
3J0L_g - -0.01 0.00 0.00 0 174 3 0 2 1 2
3J0L_2 - 0.80 0.77 0.83 20 2226 11 0 4 7 6
3J16_L 0.90 0.81 1.00 17 1142 0 0 0 0 4
3SN2_B 0.95 0.92 1.00 11 143 0 0 0 0 1
3TRZ_Z - 1.00 1.00 1.00 5 87 0 0 0 0 0
3TS0_U - 1.00 1.00 1.00 6 112 0 0 0 0 0
3TS2_V - 1.00 1.00 1.00 5 103 0 0 0 0 0
3U4M_B - 0.98 0.95 1.00 21 1255 0 0 0 0 1
3UZL_B 0.93 0.88 1.00 14 1279 7 0 0 7 2
3VJR_D - 1.00 1.00 1.00 12 239 0 0 0 0 0
4A1C_3 0.96 0.92 1.00 34 2729 1 0 0 1 3
4A1C_2 0.26 0.25 0.28 5 4498 26 3 10 13 15
4A4U_A - 1.00 1.00 1.00 9 96 0 0 0 0 0
4AOB_A 0.62 0.59 0.68 17 1412 9 2 6 1 12
4ENB_A 0.77 0.60 1.00 9 463 0 0 0 0 6
4ENC_A 0.73 0.60 0.90 9 486 1 1 0 0 6

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Performance of IPknot - scored lower in this pairwise comparison

1. Total counts & total scores for IPknot

Total Base Pair Counts
Total TP 327
Total TN 24017
Total FP 127
Total FP CONTRA 18
Total FP INCONS 61
Total FP COMP 48
Total FN 118
Total Scores
MCC 0.765
Average MCC ± 95% Confidence Intervals 0.776 ± 0.120
Sensitivity 0.735
Positive Predictive Value 0.805
Nr of predictions 30

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2. Individual counts for IPknot [ 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 1 4 0 12
2LDL_A - 1.00 1.00 1.00 9 131 0 0 0 0 0
2LHP_A - 1.00 1.00 1.00 15 246 0 0 0 0 0
2LI4_A - 1.00 1.00 1.00 14 175 0 0 0 0 0
2LJJ_A - 1.00 1.00 1.00 7 123 3 0 0 3 0
2LK3_A - 1.00 1.00 1.00 9 91 0 0 0 0 0
2LKR_A - 0.88 0.86 0.89 25 2412 9 0 3 6 4
2LQZ_A - 1.00 1.00 1.00 8 124 2 0 0 2 0
2LWK_A - 0.95 0.91 1.00 10 197 1 0 0 1 1
3J0L_8 - 1.00 1.00 1.00 7 69 0 0 0 0 0
3J0L_a - 0.16 0.18 0.18 2 400 10 3 6 1 9
3J0L_1 - 0.83 0.77 0.91 10 473 4 0 1 3 3
3J0L_h - 0.90 0.81 1.00 26 2114 2 0 0 2 6
3J0L_7 - -0.02 0.00 0.00 0 512 7 1 6 0 10
3J0L_g - -0.01 0.00 0.00 0 174 4 0 2 2 2
3J0L_2 - 0.49 0.46 0.52 12 2227 18 0 11 7 14
3J16_L 0.90 0.81 1.00 17 1142 0 0 0 0 4
3SN2_B 0.95 0.92 1.00 11 143 0 0 0 0 1
3TRZ_Z - 1.00 1.00 1.00 5 87 1 0 0 1 0
3TS0_U - 1.00 1.00 1.00 6 112 1 0 0 1 0
3TS2_V - 1.00 1.00 1.00 5 103 0 0 0 0 0
3U4M_B - 0.91 0.91 0.91 20 1254 3 2 0 1 2
3UZL_B 0.93 0.88 1.00 14 1279 7 0 0 7 2
3VJR_D - 1.00 1.00 1.00 12 239 0 0 0 0 0
4A1C_3 0.83 0.81 0.86 30 2728 7 0 5 2 7
4A1C_2 0.23 0.25 0.22 5 4493 26 8 10 8 15
4A4U_A - 1.00 1.00 1.00 9 96 0 0 0 0 0
4AOB_A 0.50 0.48 0.54 14 1411 13 3 9 1 15
4ENB_A 0.85 0.73 1.00 11 461 0 0 0 0 4
4ENC_A 0.59 0.53 0.67 8 484 4 0 4 0 7

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