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

  1. Overview

  2. Performance Plots

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

  4. Performance of PPfold(seed) - scored lower in this pairwise comparison

  5. Compile and download dataset for RSpredict(seed) & PPfold(seed) [.zip] - may take several seconds...


Overview

Metric RSpredict(seed) PPfold(seed)
MCC 0.193 > 0.102
Average MCC ± 95% Confidence Intervals 0.149 ± 0.159 > 0.050 ± 0.095
Sensitivity 0.084 > 0.020
Positive Predictive Value 0.455 < 0.538
Total TP 30 > 7
Total TN 42842 < 42895
Total FP 37 > 25
Total FP CONTRA 2 > 0
Total FP INCONS 34 > 6
Total FP COMP 1 < 19
Total FN 327 < 350
P-value 2.72492216724e-08

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Performance plots


  1. Comparison of performance of RSpredict(seed) and PPfold(seed). 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 RSpredict(seed) and PPfold(seed)).

  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 RSpredict(seed) and PPfold(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RSpredict(seed) and PPfold(seed). 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 RSpredict(seed) and PPfold(seed)).

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Performance of RSpredict(seed) - scored higher in this pairwise comparison

1. Total counts & total scores for RSpredict(seed)

Total Base Pair Counts
Total TP 30
Total TN 42842
Total FP 37
Total FP CONTRA 2
Total FP INCONS 34
Total FP COMP 1
Total FN 327
Total Scores
MCC 0.193
Average MCC ± 95% Confidence Intervals 0.149 ± 0.159
Sensitivity 0.084
Positive Predictive Value 0.455
Nr of predictions 11

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2. Individual counts for RSpredict(seed) [ 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
3AMU_B 0.00 0.00 0.00 0 3001 2 0 2 0 27
3J16_L 0.00 0.00 0.00 0 2774 1 0 1 0 30
3RKF_A 0.71 0.53 0.95 18 2192 1 0 1 0 16
3SD1_A 0.00 0.00 0.00 0 3916 0 0 0 0 42
3UZL_B 0.00 0.00 0.00 0 3564 6 0 6 0 37
4A1C_3 0.00 0.00 0.00 0 7136 4 1 3 0 54
4A1C_2 0.00 0.00 0.00 0 11777 5 1 3 1 33
4AOB_A 0.35 0.14 0.86 6 4364 1 0 1 0 36
4ENB_A 0.30 0.16 0.60 3 1270 2 0 2 0 16
4ENC_A 0.30 0.16 0.60 3 1321 2 0 2 0 16

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Performance of PPfold(seed) - scored lower in this pairwise comparison

1. Total counts & total scores for PPfold(seed)

Total Base Pair Counts
Total TP 7
Total TN 42895
Total FP 25
Total FP CONTRA 0
Total FP INCONS 6
Total FP COMP 19
Total FN 350
Total Scores
MCC 0.102
Average MCC ± 95% Confidence Intervals 0.050 ± 0.095
Sensitivity 0.020
Positive Predictive Value 0.538
Nr of predictions 11

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.47 0.30 0.75 6 1532 2 0 2 0 14
3AMU_B 0.00 0.00 0.00 0 3003 0 0 0 0 27
3J16_L 0.00 0.00 0.00 0 2775 0 0 0 0 30
3RKF_A 0.00 0.00 0.00 0 2211 0 0 0 0 34
3SD1_A 0.00 0.00 0.00 0 3916 0 0 0 0 42
3UZL_B 0.00 0.00 0.00 0 3570 0 0 0 0 37
4A1C_3 0.00 0.00 0.00 0 7140 0 0 0 0 54
4A1C_2 0.08 0.03 0.20 1 11776 23 0 4 19 32
4AOB_A 0.00 0.00 0.00 0 4371 0 0 0 0 42
4ENB_A 0.00 0.00 0.00 0 1275 0 0 0 0 19
4ENC_A 0.00 0.00 0.00 0 1326 0 0 0 0 19

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