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

  1. Overview

  2. Performance Plots

  3. Performance of Vsfold4 - scored higher in this pairwise comparison

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

  5. Compile and download dataset for Vsfold4 & RNAwolf [.zip] - may take several seconds...


Overview

Metric Vsfold4 RNAwolf
MCC 0.425 > 0.399
Average MCC ± 95% Confidence Intervals 0.430 ± 0.129 > 0.380 ± 0.128
Sensitivity 0.354 < 0.368
Positive Predictive Value 0.520 > 0.444
Total TP 178 < 185
Total TN 60865 > 60790
Total FP 180 < 253
Total FP CONTRA 14 < 28
Total FP INCONS 150 < 204
Total FP COMP 16 < 21
Total FN 325 > 318
P-value 2.91763127434e-08

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Performance plots


  1. Comparison of performance of Vsfold4 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 Vsfold4 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 Vsfold4 and RNAwolf).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Vsfold4 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 Vsfold4 and RNAwolf).

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Performance of Vsfold4 - scored higher in this pairwise comparison

1. Total counts & total scores for Vsfold4

Total Base Pair Counts
Total TP 178
Total TN 60865
Total FP 180
Total FP CONTRA 14
Total FP INCONS 150
Total FP COMP 16
Total FN 325
Total Scores
MCC 0.425
Average MCC ± 95% Confidence Intervals 0.430 ± 0.129
Sensitivity 0.354
Positive Predictive Value 0.520
Nr of predictions 17

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2. Individual counts for Vsfold4 [ 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 1527 13 0 13 0 20
2LKR_A - 0.31 0.28 0.34 11 6073 21 3 18 0 28
3AMU_B 0.64 0.56 0.75 15 2983 7 0 5 2 12
3J0L_g - -0.01 0.00 0.00 0 461 4 1 3 0 4
3J0L_a - 0.39 0.31 0.50 5 1118 5 2 3 0 11
3J0L_2 - 0.38 0.36 0.41 12 6187 18 3 14 1 21
3J0L_7 - 0.51 0.41 0.64 7 1214 4 0 4 0 10
3J16_L 0.82 0.67 1.00 20 2755 0 0 0 0 10
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.19 0.17 0.24 7 3887 22 1 21 0 35
3U4M_B - 0.38 0.32 0.46 12 3134 14 0 14 0 25
3UZL_B 0.53 0.41 0.71 15 3549 6 1 5 0 22
4A1C_2 0.28 0.24 0.33 8 11757 28 0 16 12 25
4A1C_3 0.26 0.22 0.32 12 7103 25 2 23 0 42
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 0.69 0.47 1.00 9 1317 0 0 0 0 10

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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.