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(seed) - scored lower in this pairwise comparison

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


Overview

Metric PETfold_pre2.0(seed) RNASampler(seed)
MCC 0.661 > 0.655
Average MCC ± 95% Confidence Intervals 0.655 ± 0.046 > 0.639 ± 0.088
Sensitivity 0.572 = 0.572
Positive Predictive Value 0.769 > 0.755
Total TP 163 = 163
Total TN 37506 > 37502
Total FP 51 < 56
Total FP CONTRA 23 > 20
Total FP INCONS 26 < 33
Total FP COMP 2 < 3
Total FN 122 = 122
P-value 0.000309992208728

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Performance plots


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

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

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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 163
Total TN 37506
Total FP 51
Total FP CONTRA 23
Total FP INCONS 26
Total FP COMP 2
Total FN 122
Total Scores
MCC 0.661
Average MCC ± 95% Confidence Intervals 0.655 ± 0.046
Sensitivity 0.572
Positive Predictive Value 0.769
Nr of predictions 13

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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
PDB_00005 0.80 0.64 1.00 9 937 0 0 0 0 5
PDB_00716 0.68 0.57 0.81 13 2685 3 0 3 0 10
PDB_01092 0.68 0.56 0.83 29 10118 8 0 6 2 23
RFA_00632 0.69 0.64 0.75 18 4071 6 2 4 0 10
RFA_00636 0.73 0.68 0.79 19 3981 5 2 3 0 9
RFA_00767 0.63 0.56 0.71 10 1877 4 3 1 0 8
RFA_00768 0.63 0.56 0.71 10 1877 4 3 1 0 8
RFA_00769 0.63 0.56 0.71 10 1939 4 3 1 0 8
RFA_00770 0.63 0.56 0.71 10 2002 4 3 1 0 8
RFA_00773 0.63 0.56 0.71 10 1939 4 3 1 0 8
RFA_00779 0.63 0.56 0.71 10 1939 4 3 1 0 8
RFA_00808 0.71 0.56 0.90 9 2006 1 1 0 0 7
RFA_00809 0.47 0.38 0.60 6 2135 4 0 4 0 10

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Performance of RNASampler(seed) - scored lower 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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Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.