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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 0.648 > 0.596
Average MCC ± 95% Confidence Intervals 0.552 ± 0.133 < 0.575 ± 0.125
Sensitivity 0.501 > 0.491
Positive Predictive Value 0.839 > 0.725
Total TP 502 > 492
Total TN 1170173 > 1170092
Total FP 104 < 202
Total FP CONTRA 8 < 17
Total FP INCONS 88 < 170
Total FP COMP 8 < 15
Total FN 500 < 510
P-value 2.11186924993e-07

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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 502
Total TN 1170173
Total FP 104
Total FP CONTRA 8
Total FP INCONS 88
Total FP COMP 8
Total FN 500
Total Scores
MCC 0.648
Average MCC ± 95% Confidence Intervals 0.552 ± 0.133
Sensitivity 0.501
Positive Predictive Value 0.839
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 -0.01 0.00 0.00 0 1528 12 0 12 0 20
3J20_2 0.69 0.58 0.83 367 1116322 80 5 71 4 266
3RKF_A 0.63 0.47 0.84 16 2192 3 1 2 0 18
3SD1_A 0.58 0.40 0.85 17 3896 3 1 2 0 25
3W3S_B 0.67 0.45 1.00 18 4735 1 0 0 1 22
3ZEX_C 0.42 0.17 1.00 9 14187 0 0 0 0 43
4A1C_2 0.39 0.15 1.00 5 11776 2 0 0 2 28
4AOB_A 0.72 0.52 1.00 22 4349 1 0 0 1 20
4ENB_A 0.56 0.32 1.00 6 1269 0 0 0 0 13
4ENC_A 0.56 0.32 1.00 6 1320 0 0 0 0 13
4FRG_B 0.73 0.53 1.00 17 3469 0 0 0 0 15
4FRN_A 0.69 0.53 0.90 19 5130 2 1 1 0 17

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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 492
Total TN 1170092
Total FP 202
Total FP CONTRA 17
Total FP INCONS 170
Total FP COMP 15
Total FN 510
Total Scores
MCC 0.596
Average MCC ± 95% Confidence Intervals 0.575 ± 0.125
Sensitivity 0.491
Positive Predictive Value 0.725
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 0.40 0.30 0.55 6 1529 5 1 4 0 14
3J20_2 0.61 0.52 0.72 329 1116306 135 8 122 5 304
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.61 0.48 0.80 20 3891 5 0 5 0 22
3W3S_B 0.85 0.75 0.97 30 4722 2 0 1 1 10
3ZEX_C 0.41 0.21 0.79 11 14182 6 1 2 3 41
4A1C_2 0.17 0.15 0.19 5 11755 26 4 17 5 28
4AOB_A 0.42 0.33 0.54 14 4345 13 1 11 1 28
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.52 0.42 0.67 8 1314 4 0 4 0 11
4FRG_B 0.69 0.56 0.86 18 3465 3 1 2 0 14
4FRN_A 0.69 0.56 0.87 20 5128 3 1 2 0 16

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