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

  1. Overview

  2. Performance Plots

  3. Performance of PETfold_pre2.0(seed) - scored higher in this pairwise comparison

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

  5. Compile and download dataset for PETfold_pre2.0(seed) & RNASampler(20) [.zip] - may take several seconds...


Overview

Metric PETfold_pre2.0(seed) RNASampler(20)
MCC 0.887 > 0.689
Average MCC ± 95% Confidence Intervals 0.851 ± 0.067 > 0.678 ± 0.121
Sensitivity 0.858 > 0.643
Positive Predictive Value 0.919 > 0.745
Total TP 375 > 281
Total TN 41992 < 42023
Total FP 123 < 153
Total FP CONTRA 11 < 28
Total FP INCONS 22 < 68
Total FP COMP 90 > 57
Total FN 62 < 156
P-value 1.70887622364e-08

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Performance plots


  1. Comparison of performance of PETfold_pre2.0(seed) and RNASampler(20). 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 PETfold_pre2.0(seed) and RNASampler(20)).

  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 PETfold_pre2.0(seed) and RNASampler(20)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for PETfold_pre2.0(seed) and RNASampler(20). 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 PETfold_pre2.0(seed) and RNASampler(20)).

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Performance of PETfold_pre2.0(seed) - scored higher in this pairwise comparison

1. Total counts & total scores for PETfold_pre2.0(seed)

Total Base Pair Counts
Total TP 375
Total TN 41992
Total FP 123
Total FP CONTRA 11
Total FP INCONS 22
Total FP COMP 90
Total FN 62
Total Scores
MCC 0.887
Average MCC ± 95% Confidence Intervals 0.851 ± 0.067
Sensitivity 0.858
Positive Predictive Value 0.919
Nr of predictions 18

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2. Individual counts for PETfold_pre2.0(seed) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3J20_1 1.00 1.00 1.00 20 1092 2 0 0 2 0
3J20_0 0.95 0.95 0.95 20 1198 2 1 0 1 1
3J2L_3 0.97 0.94 1.00 32 2988 5 0 0 5 2
3J3D_C 0.90 0.95 0.86 18 947 4 3 0 1 1
3J3E_8 0.71 0.67 0.77 10 2729 8 1 2 5 5
3J3E_7 0.97 0.97 0.97 33 2707 6 0 1 5 1
3J3F_8 0.86 0.84 0.89 16 4743 13 2 0 11 3
3J3F_7 0.99 0.97 1.00 35 2899 4 0 0 4 1
3J3V_B 0.90 0.89 0.92 24 2630 14 0 2 12 3
3ZEX_D 0.96 0.94 0.97 33 2762 6 0 1 5 2
3ZEX_C 0.70 0.59 0.85 17 5354 12 1 2 9 12
3ZND_W 0.67 0.75 0.60 6 1181 16 0 4 12 2
4A1C_2 0.79 0.75 0.83 15 4498 12 1 2 9 5
4A1C_3 1.00 1.00 1.00 37 2726 2 0 0 2 0
4AOB_A 0.85 0.79 0.92 23 1412 4 0 2 2 6
4ENB_A 0.61 0.53 0.73 8 461 5 1 2 2 7
4ENC_A 0.61 0.53 0.73 8 485 5 1 2 2 7
4FRG_B 0.87 0.83 0.91 20 1180 3 0 2 1 4

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

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

Total Base Pair Counts
Total TP 281
Total TN 42023
Total FP 153
Total FP CONTRA 28
Total FP INCONS 68
Total FP COMP 57
Total FN 156
Total Scores
MCC 0.689
Average MCC ± 95% Confidence Intervals 0.678 ± 0.121
Sensitivity 0.643
Positive Predictive Value 0.745
Nr of predictions 18

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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
3J20_1 1.00 1.00 1.00 20 1092 1 0 0 1 0
3J20_0 0.90 0.90 0.90 19 1198 3 1 1 1 2
3J2L_3 0.56 0.50 0.63 17 2993 12 3 7 2 17
3J3D_C 0.90 0.95 0.86 18 947 3 3 0 0 1
3J3E_8 0.19 0.20 0.19 3 2726 21 5 8 8 12
3J3E_7 0.80 0.76 0.84 26 2710 6 0 5 1 8
3J3F_8 0.43 0.47 0.39 9 4738 20 6 8 6 10
3J3F_7 0.78 0.72 0.84 26 2903 5 0 5 0 10
3J3V_B 0.88 0.78 1.00 21 2635 4 0 0 4 6
3ZEX_D 0.83 0.69 1.00 24 2772 1 0 0 1 11
3ZEX_C 0.35 0.31 0.39 9 5351 21 3 11 7 20
3ZND_W 0.58 0.75 0.46 6 1178 18 4 3 11 2
4A1C_2 0.24 0.25 0.24 5 4495 30 3 13 14 15
4A1C_3 0.90 0.81 1.00 30 2733 0 0 0 0 7
4AOB_A 0.70 0.59 0.85 17 1417 4 0 3 1 12
4ENB_A 0.68 0.47 1.00 7 465 0 0 0 0 8
4ENC_A 0.85 0.73 1.00 11 485 0 0 0 0 4
4FRG_B 0.64 0.54 0.76 13 1185 4 0 4 0 11

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