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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Pknots RSpredict(seed)
MCC 0.768 > 0.518
Average MCC ± 95% Confidence Intervals 0.801 ± 0.106 > 0.518 ± 0.090
Sensitivity 0.748 > 0.437
Positive Predictive Value 0.792 > 0.623
Total TP 255 > 149
Total TN 38655 < 38738
Total FP 90 < 92
Total FP CONTRA 18 < 40
Total FP INCONS 49 < 50
Total FP COMP 23 > 2
Total FN 86 < 192
P-value 2.64318034126e-08

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Performance plots


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

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

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Performance of Pknots - scored higher in this pairwise comparison

1. Total counts & total scores for Pknots

Total Base Pair Counts
Total TP 255
Total TN 38655
Total FP 90
Total FP CONTRA 18
Total FP INCONS 49
Total FP COMP 23
Total FN 86
Total Scores
MCC 0.768
Average MCC ± 95% Confidence Intervals 0.801 ± 0.106
Sensitivity 0.748
Positive Predictive Value 0.792
Nr of predictions 16

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2. Individual counts for Pknots [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
PDB_00005 1.00 1.00 1.00 14 932 0 0 0 0 0
PDB_00716 0.69 0.70 0.70 16 2678 8 0 7 1 7
PDB_00828 0.86 0.74 1.00 20 2465 2 0 0 2 7
PDB_00829 0.60 0.46 0.79 11 2264 5 0 3 2 13
PDB_01020 0.86 0.74 1.00 17 2261 3 0 0 3 6
PDB_01073 0.51 0.47 0.55 16 4342 14 2 11 1 18
RFA_00632 0.40 0.43 0.39 12 4064 19 4 15 0 16
RFA_00636 0.80 0.86 0.75 24 3973 8 6 2 0 4
RFA_00767 1.00 1.00 1.00 18 1873 4 0 0 4 0
RFA_00768 1.00 1.00 1.00 18 1873 3 0 0 3 0
RFA_00769 0.54 0.56 0.53 10 1934 9 4 5 0 8
RFA_00770 0.97 0.94 1.00 17 1999 3 0 0 3 1
RFA_00773 0.97 1.00 0.95 18 1934 4 1 0 3 0
RFA_00779 0.83 0.83 0.83 15 1935 4 1 2 1 3
RFA_00808 1.00 1.00 1.00 16 2000 0 0 0 0 0
RFA_00809 0.79 0.81 0.76 13 2128 4 0 4 0 3

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

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

Total Base Pair Counts
Total TP 149
Total TN 38738
Total FP 92
Total FP CONTRA 40
Total FP INCONS 50
Total FP COMP 2
Total FN 192
Total Scores
MCC 0.518
Average MCC ± 95% Confidence Intervals 0.518 ± 0.090
Sensitivity 0.437
Positive Predictive Value 0.623
Nr of predictions 16

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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
PDB_00005 0.71 0.57 0.89 8 937 1 0 1 0 6
PDB_00716 0.59 0.48 0.73 11 2686 4 0 4 0 12
PDB_00828 0.54 0.41 0.73 11 2470 4 2 2 0 16
PDB_00829 0.74 0.63 0.88 15 2261 2 2 0 0 9
PDB_01020 0.76 0.65 0.88 15 2261 2 2 0 0 8
PDB_01073 0.39 0.18 0.86 6 4364 1 0 1 0 28
RFA_00632 0.47 0.39 0.58 11 4076 8 3 5 0 17
RFA_00636 0.62 0.54 0.71 15 3984 6 3 3 0 13
RFA_00767 0.19 0.17 0.23 3 1878 10 3 7 0 15
RFA_00768 0.19 0.17 0.23 3 1878 10 3 7 0 15
RFA_00769 0.59 0.56 0.63 10 1937 6 4 2 0 8
RFA_00770 0.54 0.56 0.53 10 1997 9 6 3 0 8
RFA_00773 0.50 0.50 0.50 9 1935 9 6 3 0 9
RFA_00779 0.50 0.50 0.50 9 1935 9 6 3 0 9
RFA_00808 0.60 0.50 0.73 8 2005 4 0 3 1 8
RFA_00809 0.37 0.31 0.45 5 2134 7 0 6 1 11

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