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

  1. Overview

  2. Performance Plots

  3. Performance of RNASampler(20) - scored higher in this pairwise comparison

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

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


Overview

Metric RNASampler(20) RNAwolf
MCC 0.585 > 0.348
Average MCC ± 95% Confidence Intervals 0.595 ± 0.100 > 0.375 ± 0.099
Sensitivity 0.448 > 0.328
Positive Predictive Value 0.768 > 0.379
Total TP 354 > 259
Total TN 119864 > 119641
Total FP 143 < 467
Total FP CONTRA 7 < 53
Total FP INCONS 100 < 372
Total FP COMP 36 < 42
Total FN 436 < 531
P-value 5.19332990918e-08

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Performance plots


  1. Comparison of performance of RNASampler(20) 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 RNASampler(20) 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 RNASampler(20) and RNAwolf).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASampler(20) 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 RNASampler(20) and RNAwolf).

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Performance of RNASampler(20) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 354
Total TN 119864
Total FP 143
Total FP CONTRA 7
Total FP INCONS 100
Total FP COMP 36
Total FN 436
Total Scores
MCC 0.585
Average MCC ± 95% Confidence Intervals 0.595 ± 0.100
Sensitivity 0.448
Positive Predictive Value 0.768
Nr of predictions 21

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3AMU_B 0.82 0.70 0.95 19 2983 3 0 1 2 8
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J20_0 0.80 0.67 0.95 20 2829 2 0 1 1 10
3J2L_3 0.45 0.32 0.63 17 7848 12 1 9 2 36
3J3D_C 0.82 0.71 0.95 20 2754 1 0 1 0 8
3J3E_8 0.12 0.09 0.18 3 7486 21 2 12 7 30
3J3E_7 0.62 0.48 0.81 26 7108 6 0 6 0 28
3J3F_8 0.39 0.33 0.46 12 12220 17 1 13 3 24
3J3F_7 0.66 0.52 0.84 26 7229 5 0 5 0 24
3J3V_B 0.63 0.42 0.96 24 6996 1 0 1 0 33
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.67 0.48 0.95 20 3895 1 0 1 0 22
3ZEX_D 0.68 0.49 0.96 24 6996 1 0 1 0 25
3ZEX_C 0.27 0.19 0.38 10 14170 20 1 15 4 42
3ZND_W 0.41 0.39 0.43 9 2982 15 2 10 3 14
4A1C_3 0.74 0.56 1.00 30 7110 0 0 0 0 24
4A1C_2 0.18 0.15 0.23 5 11759 30 0 17 13 28
4AOB_A 0.58 0.40 0.85 17 4351 4 0 3 1 25
4ENB_A 0.60 0.37 1.00 7 1268 0 0 0 0 12
4ENC_A 0.76 0.58 1.00 11 1315 0 0 0 0 8
4FRG_B 0.55 0.41 0.76 13 3469 4 0 4 0 19

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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 259
Total TN 119641
Total FP 467
Total FP CONTRA 53
Total FP INCONS 372
Total FP COMP 42
Total FN 531
Total Scores
MCC 0.348
Average MCC ± 95% Confidence Intervals 0.375 ± 0.099
Sensitivity 0.328
Positive Predictive Value 0.379
Nr of predictions 21

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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
3AMU_B 0.68 0.63 0.74 17 2980 9 0 6 3 10
3J20_1 0.46 0.52 0.41 12 2897 17 6 11 0 11
3J20_0 0.40 0.40 0.41 12 2821 18 0 17 1 18
3J2L_3 0.55 0.49 0.62 26 7833 18 0 16 2 27
3J3D_C 0.79 0.75 0.84 21 2750 5 2 2 1 7
3J3E_8 0.00 0.00 0.00 0 7470 42 4 29 9 33
3J3E_7 0.41 0.35 0.49 19 7101 20 1 19 0 35
3J3F_8 0.23 0.25 0.21 9 12204 45 5 28 12 27
3J3F_7 0.21 0.20 0.23 10 7216 34 2 32 0 40
3J3V_B 0.43 0.37 0.51 21 6980 20 2 18 0 36
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
3ZEX_D 0.20 0.18 0.22 9 6980 32 3 29 0 40
3ZEX_C 0.05 0.06 0.06 3 14144 49 12 37 0 49
3ZND_W 0.50 0.48 0.52 11 2982 13 0 10 3 12
4A1C_3 0.23 0.20 0.28 11 7101 28 2 26 0 43
4A1C_2 0.08 0.09 0.08 3 11741 46 10 27 9 30
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
4FRG_B 0.56 0.50 0.64 16 3461 10 1 8 1 16

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