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Table of contents:

  1. Overview

  2. Performance Plots

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

  4. Performance of Murlet(20) - scored lower in this pairwise comparison

  5. Compile and download dataset for UNAFold & Murlet(20) [.zip] - may take several seconds...


Overview

Metric UNAFold Murlet(20)
MCC 0.585 > 0.582
Average MCC ± 95% Confidence Intervals 0.600 ± 0.084 > 0.586 ± 0.064
Sensitivity 0.512 > 0.423
Positive Predictive Value 0.672 < 0.804
Total TP 546 > 451
Total TN 209294 < 209545
Total FP 344 > 141
Total FP CONTRA 34 > 14
Total FP INCONS 232 > 96
Total FP COMP 78 > 31
Total FN 520 < 615
P-value 0.0414928403863

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Performance plots


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Performance of UNAFold - scored higher in this pairwise comparison

1. Total counts & total scores for UNAFold

Total Base Pair Counts
Total TP 546
Total TN 209294
Total FP 344
Total FP CONTRA 34
Total FP INCONS 232
Total FP COMP 78
Total FN 520
Total Scores
MCC 0.585
Average MCC ± 95% Confidence Intervals 0.600 ± 0.084
Sensitivity 0.512
Positive Predictive Value 0.672
Nr of predictions 28

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.95 0.91 1.00 10 396 0 0 0 0 1
2L94_A 0.97 0.95 1.00 19 971 0 0 0 0 1
2WRQ_Y 0.57 0.59 0.56 10 2832 13 5 3 5 7
2XKV_B 0.47 0.45 0.50 9 4542 21 0 9 12 11
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
2XXA_G 0.34 0.31 0.39 13 5118 20 1 19 0 29
3A2K_C 0.42 0.39 0.46 11 2902 13 2 11 0 17
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3G4S_9 0.50 0.39 0.67 22 7348 11 1 10 0 35
3GX2_A 0.68 0.55 0.85 22 4345 5 0 4 1 18
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3IZ4_A 0.51 0.45 0.58 60 70772 50 4 40 6 72
3IZF_C 0.70 0.61 0.80 33 6862 8 1 7 0 21
3JYV_7 0.22 0.19 0.29 6 2829 15 0 15 0 26
3JYX_3 0.62 0.63 0.61 17 6300 22 1 10 11 10
3JYX_4 0.32 0.30 0.34 10 12217 31 3 16 12 23
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.78 0.65 0.94 30 6989 5 0 2 3 16
3O58_2 0.71 0.71 0.71 27 7222 12 4 7 1 11
3O58_3 0.35 0.34 0.35 12 12369 33 1 21 11 23
3PDR_A 0.77 0.64 0.94 46 12831 5 0 3 2 26
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.64 0.52 0.79 22 3888 6 1 5 0 20
4A1C_3 0.70 0.59 0.82 32 7101 7 1 6 0 22
4A1C_2 0.14 0.15 0.14 5 11745 42 5 26 11 28
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ENB_A 0.70 0.58 0.85 11 1262 2 1 1 0 8
4ENC_A 0.32 0.26 0.42 5 1314 7 1 6 0 14

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Performance of Murlet(20) - scored lower in this pairwise comparison

1. Total counts & total scores for Murlet(20)

Total Base Pair Counts
Total TP 451
Total TN 209545
Total FP 141
Total FP CONTRA 14
Total FP INCONS 96
Total FP COMP 31
Total FN 615
Total Scores
MCC 0.582
Average MCC ± 95% Confidence Intervals 0.586 ± 0.064
Sensitivity 0.423
Positive Predictive Value 0.804
Nr of predictions 28

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2. Individual counts for Murlet(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.67 0.45 1.00 5 401 0 0 0 0 6
2L94_A 0.53 0.50 0.59 10 973 7 0 7 0 10
2WRQ_Y 0.41 0.41 0.41 7 2833 12 6 4 2 10
2XKV_B 0.45 0.20 1.00 4 4556 3 0 0 3 16
2XQD_Y 0.80 0.70 0.90 19 2829 2 0 2 0 8
2XXA_G 0.41 0.17 1.00 7 5144 0 0 0 0 35
3A2K_C 0.78 0.68 0.90 19 2905 2 0 2 0 9
3AMU_B 0.77 0.67 0.90 18 2983 3 0 2 1 9
3G4S_9 0.58 0.39 0.88 22 7356 3 1 2 0 35
3GX2_A 0.61 0.38 1.00 15 4356 1 0 0 1 25
3IVN_B 0.69 0.48 1.00 15 2331 0 0 0 0 16
3IZ4_A 0.40 0.24 0.65 32 70827 21 1 16 4 100
3IZF_C 0.71 0.56 0.91 30 6870 4 0 3 1 24
3JYV_7 0.67 0.53 0.85 17 2830 3 0 3 0 15
3JYX_3 0.60 0.52 0.70 14 6308 11 0 6 5 13
3JYX_4 0.36 0.27 0.47 9 12227 15 0 10 5 24
3LA5_A 0.68 0.47 1.00 16 2469 0 0 0 0 18
3NPB_A 0.55 0.35 0.89 16 7003 2 1 1 0 30
3O58_2 0.89 0.82 0.97 31 7228 2 0 1 1 7
3O58_3 0.33 0.23 0.47 8 12386 12 2 7 3 27
3PDR_A 0.70 0.53 0.93 38 12839 3 0 3 0 34
3RKF_A 0.68 0.47 1.00 16 2195 0 0 0 0 18
3SD1_A 0.68 0.57 0.83 24 3887 5 1 4 0 18
4A1C_3 0.59 0.41 0.85 22 7114 4 0 4 0 32
4A1C_2 0.17 0.15 0.20 5 11756 24 2 18 4 28
4AOB_A 0.72 0.55 0.96 23 4347 2 0 1 1 19
4ENB_A 0.46 0.21 1.00 4 1271 0 0 0 0 15
4ENC_A 0.51 0.26 1.00 5 1321 0 0 0 0 14

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