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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNAalifold(seed) IPknot
MCC 0.781 > 0.721
Average MCC ± 95% Confidence Intervals 0.641 ± 0.155 < 0.664 ± 0.137
Sensitivity 0.701 > 0.689
Positive Predictive Value 0.870 > 0.754
Total TP 474 > 466
Total TN 442084 > 442011
Total FP 132 < 228
Total FP CONTRA 15 < 34
Total FP INCONS 56 < 118
Total FP COMP 61 < 76
Total FN 202 < 210
P-value 1.49381627234e-08

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Performance plots


  1. Comparison of performance of RNAalifold(seed) 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 RNAalifold(seed) and IPknot).

  2. Comparison of performance of RNAalifold(seed) 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 RNAalifold(seed) and IPknot).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAalifold(seed) 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 RNAalifold(seed) and IPknot).

  4. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAalifold(seed) 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 RNAalifold(seed) and IPknot).

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

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

Total Base Pair Counts
Total TP 474
Total TN 442084
Total FP 132
Total FP CONTRA 15
Total FP INCONS 56
Total FP COMP 61
Total FN 202
Total Scores
MCC 0.781
Average MCC ± 95% Confidence Intervals 0.641 ± 0.155
Sensitivity 0.701
Positive Predictive Value 0.870
Nr of predictions 12

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2. Individual counts for RNAalifold(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 0 516 12 0 12 0 18
3J20_2 0.85 0.83 0.87 343 421974 104 11 40 53 69
3RKF_A 0.74 0.67 0.84 16 847 3 1 2 0 8
3SD1_A 0.70 0.59 0.85 17 1513 3 2 1 0 12
3W3S_B 0.71 0.52 1.00 17 1972 2 0 0 2 16
3ZEX_C 0.49 0.24 1.00 7 5367 2 0 0 2 22
4A1C_2 0.50 0.25 1.00 5 4511 2 0 0 2 15
4AOB_A 0.85 0.72 1.00 21 1416 2 0 0 2 8
4ENB_A 0.63 0.40 1.00 6 466 0 0 0 0 9
4ENC_A 0.63 0.40 1.00 6 490 0 0 0 0 9
4FRG_B 0.84 0.71 1.00 17 1185 0 0 0 0 7
4FRN_A 0.78 0.68 0.90 19 1827 2 1 1 0 9

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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 466
Total TN 442011
Total FP 228
Total FP CONTRA 34
Total FP INCONS 118
Total FP COMP 76
Total FN 210
Total Scores
MCC 0.721
Average MCC ± 95% Confidence Intervals 0.664 ± 0.137
Sensitivity 0.689
Positive Predictive Value 0.754
Nr of predictions 12

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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
3J20_2 0.75 0.74 0.76 305 421966 159 17 80 62 107
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.74 0.69 0.80 20 1508 5 0 5 0 9
3W3S_B 0.94 0.91 0.97 30 1958 2 0 1 1 3
3ZEX_C 0.51 0.34 0.77 10 5361 7 1 2 4 19
4A1C_2 0.23 0.25 0.22 5 4493 26 8 10 8 15
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
4FRG_B 0.75 0.71 0.81 17 1181 4 3 1 0 7
4FRN_A 0.79 0.71 0.87 20 1825 3 1 2 0 8

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