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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Cylofold RSpredict(seed)
MCC 0.798 > 0.514
Average MCC ± 95% Confidence Intervals 0.819 ± 0.094 > 0.512 ± 0.096
Sensitivity 0.772 > 0.434
Positive Predictive Value 0.828 > 0.618
Total TP 251 > 141
Total TN 36658 < 36733
Total FP 65 < 88
Total FP CONTRA 13 < 40
Total FP INCONS 39 < 47
Total FP COMP 13 > 1
Total FN 74 < 184
P-value 1.13392142882e-08

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Performance plots


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

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

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Performance of Cylofold - scored higher in this pairwise comparison

1. Total counts & total scores for Cylofold

Total Base Pair Counts
Total TP 251
Total TN 36658
Total FP 65
Total FP CONTRA 13
Total FP INCONS 39
Total FP COMP 13
Total FN 74
Total Scores
MCC 0.798
Average MCC ± 95% Confidence Intervals 0.819 ± 0.094
Sensitivity 0.772
Positive Predictive Value 0.828
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
PDB_00005 0.78 0.79 0.79 11 932 3 0 3 0 3
PDB_00716 0.68 0.70 0.67 16 2677 9 0 8 1 7
PDB_00828 0.88 0.78 1.00 21 2464 0 0 0 0 6
PDB_00829 0.43 0.42 0.45 10 2256 12 0 12 0 14
PDB_01020 0.86 0.74 1.00 17 2261 1 0 0 1 6
PDB_01073 0.75 0.65 0.88 22 4346 4 2 1 1 12
RFA_00632 0.54 0.54 0.56 15 4068 12 2 10 0 13
RFA_00636 0.78 0.82 0.74 23 3974 8 7 1 0 5
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 0 0 0 0 0
RFA_00769 0.97 1.00 0.95 18 1934 1 1 0 0 0
RFA_00770 0.88 0.78 1.00 14 2002 3 0 0 3 4
RFA_00773 0.97 1.00 0.95 18 1934 4 1 0 3 0
RFA_00779 0.97 0.94 1.00 17 1936 0 0 0 0 1
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 141
Total TN 36733
Total FP 88
Total FP CONTRA 40
Total FP INCONS 47
Total FP COMP 1
Total FN 184
Total Scores
MCC 0.514
Average MCC ± 95% Confidence Intervals 0.512 ± 0.096
Sensitivity 0.434
Positive Predictive Value 0.618
Nr of predictions 15

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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_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.