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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNAsubopt RNAwolf
MCC 0.473 > 0.399
Average MCC ± 95% Confidence Intervals 0.418 ± 0.143 > 0.380 ± 0.128
Sensitivity 0.414 > 0.368
Positive Predictive Value 0.550 > 0.444
Total TP 208 > 185
Total TN 60829 > 60790
Total FP 190 < 253
Total FP CONTRA 15 < 28
Total FP INCONS 155 < 204
Total FP COMP 20 < 21
Total FN 295 < 318
P-value 2.78993384543e-08

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Performance plots


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

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

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Performance of RNAsubopt - scored higher in this pairwise comparison

1. Total counts & total scores for RNAsubopt

Total Base Pair Counts
Total TP 208
Total TN 60829
Total FP 190
Total FP CONTRA 15
Total FP INCONS 155
Total FP COMP 20
Total FN 295
Total Scores
MCC 0.473
Average MCC ± 95% Confidence Intervals 0.418 ± 0.143
Sensitivity 0.414
Positive Predictive Value 0.550
Nr of predictions 17

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2. Individual counts for RNAsubopt [ 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 - 0.81 0.77 0.86 30 6070 9 0 5 4 9
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3J0L_g - -0.01 0.00 0.00 0 460 5 1 4 0 4
3J0L_a - 0.35 0.31 0.42 5 1116 7 1 6 0 11
3J0L_2 - 0.25 0.24 0.28 8 6187 25 0 21 4 25
3J0L_7 - -0.01 0.00 0.00 0 1213 12 0 12 0 17
3J16_L 0.41 0.37 0.48 11 2752 12 1 11 0 19
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.61 0.50 0.75 21 3888 7 1 6 0 21
3U4M_B - 0.38 0.32 0.46 12 3134 14 0 14 0 25
3UZL_B 0.48 0.38 0.61 14 3547 9 0 9 0 23
4A1C_2 0.14 0.15 0.13 5 11742 43 5 29 9 28
4A1C_3 0.70 0.59 0.82 32 7101 7 1 6 0 22
4AOB_A 0.52 0.43 0.64 18 4343 11 2 8 1 24
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 0 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.