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 MCFold - scored lower in this pairwise comparison

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


Overview

Metric RNASampler(seed) MCFold
MCC 0.562 > 0.449
Average MCC ± 95% Confidence Intervals 0.537 ± 0.197 > 0.453 ± 0.199
Sensitivity 0.486 < 0.514
Positive Predictive Value 0.658 > 0.401
Total TP 123 < 130
Total TN 28382 > 28245
Total FP 98 < 250
Total FP CONTRA 21 < 67
Total FP INCONS 43 < 127
Total FP COMP 34 < 56
Total FN 130 > 123
P-value 1.70887622364e-08

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Performance plots


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

  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 MCFold).

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

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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 123
Total TN 28382
Total FP 98
Total FP CONTRA 21
Total FP INCONS 43
Total FP COMP 34
Total FN 130
Total Scores
MCC 0.562
Average MCC ± 95% Confidence Intervals 0.537 ± 0.197
Sensitivity 0.486
Positive Predictive Value 0.658
Nr of predictions 11

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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
2LC8_A -0.03 0.00 0.00 0 518 10 0 10 0 18
3A3A_A 0.77 0.60 1.00 18 1482 0 0 0 0 12
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3J3E_8 0.18 0.20 0.18 3 2725 22 5 9 8 12
3J3F_8 0.47 0.47 0.47 9 4742 18 5 5 8 10
3O58_3 0.54 0.50 0.58 11 4745 13 5 3 5 11
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.72 0.55 0.94 16 1516 1 0 1 0 13
3ZEX_C 0.39 0.31 0.50 9 5356 14 2 7 5 20
4A1C_2 0.40 0.40 0.40 8 4496 20 4 8 8 12
4JF2_A 0.64 0.42 1.00 10 1072 0 0 0 0 14

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Performance of MCFold - scored lower in this pairwise comparison

1. Total counts & total scores for MCFold

Total Base Pair Counts
Total TP 130
Total TN 28245
Total FP 250
Total FP CONTRA 67
Total FP INCONS 127
Total FP COMP 56
Total FN 123
Total Scores
MCC 0.449
Average MCC ± 95% Confidence Intervals 0.453 ± 0.199
Sensitivity 0.514
Positive Predictive Value 0.401
Nr of predictions 11

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.44 0.44 0.47 8 511 10 0 9 1 10
3A3A_A 0.98 0.97 1.00 29 1471 0 0 0 0 1
3IVN_B 0.45 0.48 0.46 11 879 14 5 8 1 12
3J3E_8 0.15 0.20 0.12 3 2716 36 11 12 13 12
3J3F_8 0.14 0.21 0.10 4 4720 51 17 20 14 15
3O58_3 0.28 0.36 0.22 8 4727 39 14 15 10 14
3RKF_A 0.89 0.88 0.91 21 843 3 0 2 1 3
3SD1_A 0.43 0.45 0.43 13 1503 17 1 16 0 16
3ZEX_C 0.30 0.34 0.27 10 5337 28 6 21 1 19
4A1C_2 0.18 0.25 0.14 5 4480 45 12 19 14 15
4JF2_A 0.74 0.75 0.75 18 1058 7 1 5 1 6

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