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

  1. Overview

  2. Performance Plots

  3. Performance of RSpredict(20) - scored higher in this pairwise comparison

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

  5. Compile and download dataset for RSpredict(20) & RNASampler(seed) [.zip] - may take several seconds...


Overview

Metric RSpredict(20) RNASampler(seed)
MCC 0.753 > 0.571
Average MCC ± 95% Confidence Intervals 0.773 ± 0.051 > 0.424 ± 0.109
Sensitivity 0.684 > 0.343
Positive Predictive Value 0.833 < 0.957
Total TP 449 > 225
Total TN 64120 < 64424
Total FP 129 > 25
Total FP CONTRA 6 > 0
Total FP INCONS 84 > 10
Total FP COMP 39 > 15
Total FN 207 < 431
P-value 5.23657817852e-08

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Performance plots


  1. Comparison of performance of RSpredict(20) 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 RSpredict(20) 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 RSpredict(20) and RNASampler(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RSpredict(20) 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 RSpredict(20) and RNASampler(seed)).

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Performance of RSpredict(20) - scored higher in this pairwise comparison

1. Total counts & total scores for RSpredict(20)

Total Base Pair Counts
Total TP 449
Total TN 64120
Total FP 129
Total FP CONTRA 6
Total FP INCONS 84
Total FP COMP 39
Total FN 207
Total Scores
MCC 0.753
Average MCC ± 95% Confidence Intervals 0.773 ± 0.051
Sensitivity 0.684
Positive Predictive Value 0.833
Nr of predictions 42

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2. Individual counts for RSpredict(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
PDB_00012 1.00 1.00 1.00 7 399 2 0 0 2 0
PDB_00213 0.56 0.49 0.65 20 5019 11 0 11 0 21
PDB_00553 0.90 0.82 1.00 9 456 0 0 0 0 2
PDB_00810 0.64 0.47 0.89 8 1072 1 0 1 0 9
PDB_01050 0.68 0.54 0.88 7 622 3 0 1 2 6
PDB_01152 0.88 0.79 1.00 11 550 0 0 0 0 3
RFA_00390 1.00 1.00 1.00 15 1416 3 0 0 3 0
RFA_00416 0.87 0.87 0.87 13 1470 5 0 2 3 2
RFA_00433 1.00 1.00 1.00 15 1416 3 0 0 3 0
RFA_00587 1.00 1.00 1.00 15 4836 7 0 0 7 0
RFA_00658 0.69 0.64 0.75 9 1116 4 0 3 1 5
RFA_00664 0.64 0.57 0.73 8 979 4 0 3 1 6
RFA_00667 0.64 0.57 0.73 8 979 4 0 3 1 6
RFA_00668 0.47 0.36 0.63 5 982 4 0 3 1 9
RFA_00672 0.61 0.54 0.70 7 893 3 0 3 0 6
RFA_00673 0.59 0.50 0.70 7 1118 4 0 3 1 7
RFA_00674 0.69 0.64 0.75 9 1116 4 0 3 1 5
RFA_00675 0.62 0.50 0.78 7 981 3 0 2 1 7
RFA_00677 0.69 0.64 0.75 9 978 4 0 3 1 5
RFA_00678 0.72 0.64 0.82 9 935 3 0 2 1 5
RFA_00680 0.74 0.71 0.77 10 1115 4 0 3 1 4
RFA_00704 0.42 0.36 0.50 5 980 6 0 5 1 9
RFA_00707 0.72 0.64 0.82 9 1024 3 0 2 1 5
RFA_00715 0.60 0.43 0.86 6 939 2 0 1 1 8
RFA_00717 0.48 0.43 0.55 6 892 5 0 5 0 8
RFA_00730 0.91 0.83 1.00 10 893 1 0 0 1 2
RFA_00731 0.91 0.83 1.00 10 893 0 0 0 0 2
RFA_00733 0.91 0.83 1.00 10 893 0 0 0 0 2
RFA_00734 0.91 0.83 1.00 10 893 0 0 0 0 2
RFA_00736 0.91 0.83 1.00 10 893 0 0 0 0 2
RFA_00737 0.91 0.83 1.00 10 893 0 0 0 0 2
RFA_00745 0.91 0.83 1.00 10 936 1 0 0 1 2
RFA_00749 0.91 0.83 1.00 10 893 0 0 0 0 2
RFA_00758 0.86 0.75 1.00 9 894 0 0 0 0 3
RFA_00762 0.91 0.83 1.00 10 893 0 0 0 0 2
RFA_00763 0.91 0.83 1.00 10 893 1 0 0 1 2
RFA_00764 0.91 0.83 1.00 10 893 0 0 0 0 2
RFA_00765 0.91 0.83 1.00 10 893 0 0 0 0 2
RFA_00786 0.81 0.78 0.83 25 5020 5 1 4 0 7
RFA_00791 0.77 0.72 0.82 23 5123 6 1 4 1 9
RFA_00792 0.64 0.63 0.67 20 5020 11 2 8 1 12
RFA_00801 0.59 0.56 0.62 18 5021 12 2 9 1 14

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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 225
Total TN 64424
Total FP 25
Total FP CONTRA 0
Total FP INCONS 10
Total FP COMP 15
Total FN 431
Total Scores
MCC 0.571
Average MCC ± 95% Confidence Intervals 0.424 ± 0.109
Sensitivity 0.343
Positive Predictive Value 0.957
Nr of predictions 42

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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_00012 1.00 1.00 1.00 7 399 3 0 0 3 0
PDB_00213 0.76 0.59 1.00 24 5026 0 0 0 0 17
PDB_00553 1.00 1.00 1.00 11 454 0 0 0 0 0
PDB_00810 0.42 0.18 1.00 3 1078 0 0 0 0 14
PDB_01050 0.92 0.85 1.00 11 619 2 0 0 2 2
PDB_01152 0.84 0.71 1.00 10 551 0 0 0 0 4
RFA_00390 0.00 0.00 0.00 0 1431 0 0 0 0 15
RFA_00416 0.63 0.40 1.00 6 1479 1 0 0 1 9
RFA_00433 0.63 0.40 1.00 6 1425 1 0 0 1 9
RFA_00587 1.00 1.00 1.00 15 4836 5 0 0 5 0
RFA_00658 0.00 0.00 0.00 0 1128 0 0 0 0 14
RFA_00664 0.00 0.00 0.00 0 990 0 0 0 0 14
RFA_00667 0.53 0.29 1.00 4 986 0 0 0 0 10
RFA_00668 0.00 0.00 0.00 0 990 0 0 0 0 14
RFA_00672 0.00 0.00 0.00 0 903 0 0 0 0 13
RFA_00673 0.00 0.00 0.00 0 1128 0 0 0 0 14
RFA_00674 0.00 0.00 0.00 0 1128 0 0 0 0 14
RFA_00675 0.00 0.00 0.00 0 990 0 0 0 0 14
RFA_00677 0.00 0.00 0.00 0 990 0 0 0 0 14
RFA_00678 0.00 0.00 0.00 0 946 0 0 0 0 14
RFA_00680 0.00 0.00 0.00 0 1128 0 0 0 0 14
RFA_00704 -0.01 0.00 0.00 0 987 3 0 3 0 14
RFA_00707 0.00 0.00 0.00 0 1035 0 0 0 0 14
RFA_00715 0.00 0.00 0.00 0 946 0 0 0 0 14
RFA_00717 0.00 0.00 0.00 0 903 0 0 0 0 14
RFA_00730 0.50 0.25 1.00 3 900 0 0 0 0 9
RFA_00731 0.64 0.42 1.00 5 898 1 0 0 1 7
RFA_00733 0.50 0.25 1.00 3 900 0 0 0 0 9
RFA_00734 0.64 0.42 1.00 5 898 0 0 0 0 7
RFA_00736 0.50 0.25 1.00 3 900 0 0 0 0 9
RFA_00737 0.64 0.42 1.00 5 898 1 0 0 1 7
RFA_00745 0.50 0.25 1.00 3 943 0 0 0 0 9
RFA_00749 0.50 0.25 1.00 3 900 0 0 0 0 9
RFA_00758 0.50 0.25 1.00 3 900 0 0 0 0 9
RFA_00762 0.64 0.42 1.00 5 898 0 0 0 0 7
RFA_00763 0.50 0.25 1.00 3 900 0 0 0 0 9
RFA_00764 0.50 0.25 1.00 3 900 0 0 0 0 9
RFA_00765 0.50 0.25 1.00 3 900 0 0 0 0 9
RFA_00786 0.79 0.63 1.00 20 5030 0 0 0 0 12
RFA_00791 0.71 0.56 0.90 18 5131 2 0 2 0 14
RFA_00792 0.81 0.72 0.92 23 5025 2 0 2 0 9
RFA_00801 0.74 0.63 0.87 20 5027 4 0 3 1 12

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