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(20) - scored higher in this pairwise comparison

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

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


Overview

Metric RNASampler(20) NanoFolder
MCC 0.724 > 0.329
Average MCC ± 95% Confidence Intervals 0.725 ± 0.238 > 0.353 ± 0.217
Sensitivity 0.653 > 0.405
Positive Predictive Value 0.810 > 0.283
Total TP 124 > 77
Total TN 15987 > 15868
Total FP 48 < 216
Total FP CONTRA 6 < 62
Total FP INCONS 23 < 133
Total FP COMP 19 < 21
Total FN 66 < 113
P-value 0.0

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Performance plots


  1. Comparison of performance of RNASampler(20) and NanoFolder. 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(20) and NanoFolder).

  2. Comparison of performance of RNASampler(20) and NanoFolder. 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(20) and NanoFolder).

  3. 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(20) and NanoFolder).

  4. 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(20) and NanoFolder).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASampler(20) and NanoFolder. 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(20) and NanoFolder).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASampler(20) and NanoFolder. 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(20) and NanoFolder).

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

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

Total Base Pair Counts
Total TP 124
Total TN 15987
Total FP 48
Total FP CONTRA 6
Total FP INCONS 23
Total FP COMP 19
Total FN 66
Total Scores
MCC 0.724
Average MCC ± 95% Confidence Intervals 0.725 ± 0.238
Sensitivity 0.653
Positive Predictive Value 0.810
Nr of predictions 7

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3J20_1 1.00 1.00 1.00 20 1092 1 0 0 1 0
3J2L_3 0.56 0.50 0.63 17 2993 12 3 7 2 17
3ZEX_D 0.83 0.69 1.00 24 2772 1 0 0 1 11
4A1C_3 0.90 0.81 1.00 30 2733 0 0 0 0 7
4A1C_2 0.24 0.25 0.24 5 4495 30 3 13 14 15
4AOB_A 0.70 0.59 0.85 17 1417 4 0 3 1 12
4ENC_A 0.85 0.73 1.00 11 485 0 0 0 0 4

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Performance of NanoFolder - scored lower in this pairwise comparison

1. Total counts & total scores for NanoFolder

Total Base Pair Counts
Total TP 77
Total TN 15868
Total FP 216
Total FP CONTRA 62
Total FP INCONS 133
Total FP COMP 21
Total FN 113
Total Scores
MCC 0.329
Average MCC ± 95% Confidence Intervals 0.353 ± 0.217
Sensitivity 0.405
Positive Predictive Value 0.283
Nr of predictions 7

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3J20_1 0.42 0.50 0.37 10 1085 20 5 12 3 10
3J2L_3 0.13 0.18 0.12 6 2969 46 14 31 1 28
3ZEX_D 0.30 0.37 0.27 13 2747 36 10 26 0 22
4A1C_3 0.58 0.68 0.51 25 2714 24 9 15 0 12
4A1C_2 -0.01 0.00 0.00 0 4469 61 18 29 14 20
4AOB_A 0.39 0.41 0.39 12 1406 20 4 15 1 17
4ENC_A 0.66 0.73 0.61 11 478 9 2 5 2 4

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