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 MXScarna(seed) - scored lower in this pairwise comparison

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


Overview

Metric RNASampler(seed) MXScarna(seed)
MCC 0.655 > 0.440
Average MCC ± 95% Confidence Intervals 0.639 ± 0.088 > 0.431 ± 0.141
Sensitivity 0.572 > 0.421
Positive Predictive Value 0.755 > 0.469
Total TP 163 > 120
Total TN 37502 > 37462
Total FP 56 < 143
Total FP CONTRA 20 < 23
Total FP INCONS 33 < 113
Total FP COMP 3 < 7
Total FN 122 < 165
P-value 1.74172190343e-08

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Performance plots


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

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

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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 MXScarna(seed) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 120
Total TN 37462
Total FP 143
Total FP CONTRA 23
Total FP INCONS 113
Total FP COMP 7
Total FN 165
Total Scores
MCC 0.440
Average MCC ± 95% Confidence Intervals 0.431 ± 0.141
Sensitivity 0.421
Positive Predictive Value 0.469
Nr of predictions 13

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
PDB_00005 0.59 0.36 1.00 5 941 0 0 0 0 9
PDB_00716 -0.01 0.00 0.00 0 2681 21 1 19 1 23
PDB_01092 0.70 0.63 0.79 33 10111 12 2 7 3 19
RFA_00632 0.25 0.25 0.27 7 4069 19 1 18 0 21
RFA_00636 0.35 0.36 0.36 10 3977 18 2 16 0 18
RFA_00767 0.59 0.56 0.63 10 1875 6 2 4 0 8
RFA_00768 0.59 0.56 0.63 10 1875 6 2 4 0 8
RFA_00769 0.55 0.56 0.56 10 1935 8 3 5 0 8
RFA_00770 0.57 0.56 0.59 10 1999 7 2 5 0 8
RFA_00773 0.55 0.56 0.56 10 1935 8 3 5 0 8
RFA_00779 0.57 0.56 0.59 10 1936 7 2 5 0 8
RFA_00808 -0.01 0.00 0.00 0 2000 19 2 14 3 16
RFA_00809 0.30 0.31 0.29 5 2128 12 1 11 0 11

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