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

  1. Overview

  2. Performance Plots

  3. Performance of RNAalifold(seed) - scored higher in this pairwise comparison

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

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


Overview

Metric RNAalifold(seed) MCFold
MCC 0.563 > 0.465
Average MCC ± 95% Confidence Intervals 0.504 ± 0.125 > 0.498 ± 0.151
Sensitivity 0.364 < 0.479
Positive Predictive Value 0.874 > 0.458
Total TP 174 < 229
Total TN 73503 > 73202
Total FP 31 < 304
Total FP CONTRA 5 < 42
Total FP INCONS 20 < 229
Total FP COMP 6 < 33
Total FN 304 > 249
P-value 2.39162260866e-08

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Performance plots


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

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

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Performance of RNAalifold(seed) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 174
Total TN 73503
Total FP 31
Total FP CONTRA 5
Total FP INCONS 20
Total FP COMP 6
Total FN 304
Total Scores
MCC 0.563
Average MCC ± 95% Confidence Intervals 0.504 ± 0.125
Sensitivity 0.364
Positive Predictive Value 0.874
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.52 0.27 1.00 3 403 0 0 0 0 8
2KX8_A 0.00 0.00 0.00 0 861 0 0 0 0 18
2LC8_A -0.01 0.00 0.00 0 1528 12 0 12 0 20
3A3A_A 0.71 0.51 1.00 19 3636 0 0 0 0 18
3GX2_A 0.74 0.55 1.00 22 4349 1 0 0 1 18
3IVN_B 0.61 0.48 0.79 15 2327 4 2 2 0 16
3JYX_4 0.46 0.21 1.00 7 12239 2 0 0 2 26
3LA5_A 0.63 0.47 0.84 16 2466 3 1 2 0 18
3O58_3 0.51 0.26 1.00 9 12394 0 0 0 0 26
3PDR_A 0.68 0.46 1.00 33 12847 1 0 0 1 39
3RKF_A 0.63 0.47 0.84 16 2192 3 1 2 0 18
3SD1_A 0.58 0.40 0.85 17 3896 3 1 2 0 25
4A1C_2 0.39 0.15 1.00 5 11776 2 0 0 2 28
4ENB_A 0.56 0.32 1.00 6 1269 0 0 0 0 13
4ENC_A 0.56 0.32 1.00 6 1320 0 0 0 0 13

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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 229
Total TN 73202
Total FP 304
Total FP CONTRA 42
Total FP INCONS 229
Total FP COMP 33
Total FN 249
Total Scores
MCC 0.465
Average MCC ± 95% Confidence Intervals 0.498 ± 0.151
Sensitivity 0.479
Positive Predictive Value 0.458
Nr of predictions 15

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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
2KDQ_B 0.95 0.91 1.00 10 396 1 0 0 1 1
2KX8_A 0.91 0.89 0.94 16 844 2 0 1 1 2
2LC8_A 0.41 0.45 0.39 9 1517 16 0 14 2 11
3A3A_A 0.89 0.86 0.91 32 3620 3 1 2 0 5
3GX2_A 0.47 0.48 0.48 19 4331 22 0 21 1 21
3IVN_B 0.39 0.39 0.40 12 2316 18 0 18 0 19
3JYX_4 0.20 0.24 0.17 8 12199 43 16 23 4 25
3LA5_A 0.32 0.32 0.34 11 2453 21 1 20 0 23
3O58_3 0.22 0.26 0.19 9 12355 45 9 30 6 26
3PDR_A 0.66 0.61 0.72 44 12819 19 0 17 2 28
3RKF_A 0.70 0.65 0.76 22 2182 7 1 6 0 12
3SD1_A 0.33 0.33 0.35 14 3876 26 0 26 0 28
4A1C_2 0.13 0.15 0.11 5 11735 56 10 31 15 28
4ENB_A 0.61 0.63 0.60 12 1255 8 2 6 0 7
4ENC_A 0.28 0.32 0.27 6 1304 17 2 14 1 13

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