CompaRNA - on-line benchmarks of RNA structure prediction methods
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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Fold RNAwolf
MCC 0.487 > 0.399
Average MCC ± 95% Confidence Intervals 0.415 ± 0.150 > 0.380 ± 0.128
Sensitivity 0.423 > 0.368
Positive Predictive Value 0.568 > 0.444
Total TP 213 > 185
Total TN 60832 > 60790
Total FP 180 < 253
Total FP CONTRA 19 < 28
Total FP INCONS 143 < 204
Total FP COMP 18 < 21
Total FN 290 < 318
P-value 2.8150742666e-08

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Performance plots


  1. Comparison of performance of Fold and RNAwolf. 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 Fold and RNAwolf).

  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 Fold and RNAwolf).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Fold and RNAwolf. 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 Fold and RNAwolf).

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Performance of Fold - scored higher in this pairwise comparison

1. Total counts & total scores for Fold

Total Base Pair Counts
Total TP 213
Total TN 60832
Total FP 180
Total FP CONTRA 19
Total FP INCONS 143
Total FP COMP 18
Total FN 290
Total Scores
MCC 0.487
Average MCC ± 95% Confidence Intervals 0.415 ± 0.150
Sensitivity 0.423
Positive Predictive Value 0.568
Nr of predictions 17

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2. Individual counts for Fold [ 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 1525 15 2 13 0 20
2LKR_A - 0.85 0.79 0.91 31 6071 5 0 3 2 8
3AMU_B 0.64 0.59 0.70 16 2980 9 0 7 2 11
3J0L_g - -0.01 0.00 0.00 0 461 4 1 3 0 4
3J0L_a - 0.20 0.19 0.23 3 1115 10 2 8 0 13
3J0L_2 - 0.25 0.24 0.26 8 6185 25 2 21 2 25
3J0L_7 - -0.01 0.00 0.00 0 1213 12 0 12 0 17
3J16_L 0.63 0.53 0.76 16 2754 5 0 5 0 14
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.57 0.48 0.69 20 3887 9 1 8 0 22
3U4M_B - 0.45 0.35 0.59 13 3138 9 1 8 0 24
3UZL_B 0.77 0.62 0.96 23 3546 1 0 1 0 14
4A1C_2 0.14 0.15 0.14 5 11744 43 5 27 11 28
4A1C_3 0.68 0.57 0.82 31 7102 7 1 6 0 23
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ENB_A 0.32 0.26 0.42 5 1263 7 1 6 0 14
4ENC_A 0.31 0.26 0.38 5 1313 8 1 7 0 14

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Performance of RNAwolf - scored lower in this pairwise comparison

1. Total counts & total scores for RNAwolf

Total Base Pair Counts
Total TP 185
Total TN 60790
Total FP 253
Total FP CONTRA 28
Total FP INCONS 204
Total FP COMP 21
Total FN 318
Total Scores
MCC 0.399
Average MCC ± 95% Confidence Intervals 0.380 ± 0.128
Sensitivity 0.368
Positive Predictive Value 0.444
Nr of predictions 17

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.52 0.50 0.56 10 1522 8 0 8 0 10
2LKR_A - 0.81 0.74 0.88 29 6072 8 0 4 4 10
3AMU_B 0.68 0.63 0.74 17 2980 9 0 6 3 10
3J0L_g - 0.16 0.25 0.11 1 456 8 6 2 0 3
3J0L_a - 0.18 0.19 0.20 3 1113 12 1 11 0 13
3J0L_2 - 0.11 0.12 0.11 4 6181 34 5 26 3 29
3J0L_7 - -0.01 0.00 0.00 0 1214 11 0 11 0 17
3J16_L 0.45 0.40 0.52 12 2752 11 0 11 0 18
3RKF_A 0.72 0.62 0.84 21 2186 4 0 4 0 13
3SD1_A 0.46 0.43 0.50 18 3880 18 0 18 0 24
3U4M_B - 0.44 0.38 0.52 14 3133 13 0 13 0 23
3UZL_B 0.72 0.59 0.88 22 3545 4 1 2 1 15
4A1C_2 0.08 0.09 0.08 3 11741 46 10 27 9 30
4A1C_3 0.23 0.20 0.28 11 7101 28 2 26 0 43
4AOB_A 0.23 0.19 0.30 8 4344 20 1 18 1 34
4ENB_A 0.35 0.32 0.40 6 1260 9 1 8 0 13
4ENC_A 0.34 0.32 0.38 6 1310 10 1 9 0 13

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