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(seed) - scored higher in this pairwise comparison

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

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


Overview

Metric RNASampler(seed) HotKnots
MCC 0.655 > 0.522
Average MCC ± 95% Confidence Intervals 0.639 ± 0.088 > 0.533 ± 0.255
Sensitivity 0.572 > 0.526
Positive Predictive Value 0.755 > 0.524
Total TP 163 > 150
Total TN 37502 > 37432
Total FP 56 < 146
Total FP CONTRA 20 > 11
Total FP INCONS 33 < 125
Total FP COMP 3 < 10
Total FN 122 < 135
P-value 1.49381627234e-08

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Performance plots


  1. Comparison of performance of RNASampler(seed) and HotKnots. 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(seed) and HotKnots).

  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(seed) and HotKnots).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASampler(seed) and HotKnots. 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(seed) and HotKnots).

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

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

Total Base Pair Counts
Total TP 163
Total TN 37502
Total FP 56
Total FP CONTRA 20
Total FP INCONS 33
Total FP COMP 3
Total FN 122
Total Scores
MCC 0.655
Average MCC ± 95% Confidence Intervals 0.639 ± 0.088
Sensitivity 0.572
Positive Predictive Value 0.755
Nr of predictions 13

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
PDB_00005 0.88 0.79 1.00 11 935 0 0 0 0 3
PDB_00716 0.50 0.39 0.64 9 2687 6 0 5 1 14
PDB_01092 0.72 0.62 0.84 32 10115 8 0 6 2 20
RFA_00632 0.78 0.68 0.90 19 4074 2 1 1 0 9
RFA_00636 0.85 0.75 0.95 21 3983 1 1 0 0 7
RFA_00767 0.65 0.56 0.77 10 1878 3 3 0 0 8
RFA_00768 0.65 0.56 0.77 10 1878 3 3 0 0 8
RFA_00769 0.59 0.56 0.63 10 1937 6 1 5 0 8
RFA_00770 0.52 0.39 0.70 7 2006 3 3 0 0 11
RFA_00773 0.59 0.50 0.69 9 1940 4 4 0 0 9
RFA_00779 0.65 0.56 0.77 10 1940 3 3 0 0 8
RFA_00808 0.58 0.56 0.60 9 2001 6 0 6 0 7
RFA_00809 0.36 0.38 0.35 6 2128 11 1 10 0 10

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Performance of HotKnots - scored lower in this pairwise comparison

1. Total counts & total scores for HotKnots

Total Base Pair Counts
Total TP 150
Total TN 37432
Total FP 146
Total FP CONTRA 11
Total FP INCONS 125
Total FP COMP 10
Total FN 135
Total Scores
MCC 0.522
Average MCC ± 95% Confidence Intervals 0.533 ± 0.255
Sensitivity 0.526
Positive Predictive Value 0.524
Nr of predictions 13

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
PDB_00005 0.88 0.79 1.00 11 935 0 0 0 0 3
PDB_00716 -0.01 0.00 0.00 0 2678 24 1 22 1 23
PDB_01092 0.69 0.65 0.74 34 10107 13 0 12 1 18
RFA_00632 0.38 0.39 0.37 11 4065 19 2 17 0 17
RFA_00636 0.42 0.43 0.43 12 3977 16 2 14 0 16
RFA_00767 0.93 1.00 0.86 18 1870 3 3 0 0 0
RFA_00768 1.00 1.00 1.00 18 1873 0 0 0 0 0
RFA_00769 -0.01 0.00 0.00 0 1934 21 0 19 2 18
RFA_00770 -0.01 0.00 0.00 0 1999 20 0 17 3 18
RFA_00773 -0.01 0.00 0.00 0 1934 22 0 19 3 18
RFA_00779 0.87 0.94 0.81 17 1932 4 3 1 0 1
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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Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.