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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric CentroidAlifold(seed) RNASampler(seed)
MCC 0.620 > 0.467
Average MCC ± 95% Confidence Intervals 0.568 ± 0.144 > 0.459 ± 0.143
Sensitivity 0.407 > 0.328
Positive Predictive Value 0.949 > 0.670
Total TP 186 > 150
Total TN 91450 > 91422
Total FP 15 < 107
Total FP CONTRA 2 < 8
Total FP INCONS 8 < 66
Total FP COMP 5 < 33
Total FN 271 < 307
P-value 1.31583660336e-08

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 186
Total TN 91450
Total FP 15
Total FP CONTRA 2
Total FP INCONS 8
Total FP COMP 5
Total FN 271
Total Scores
MCC 0.620
Average MCC ± 95% Confidence Intervals 0.568 ± 0.144
Sensitivity 0.407
Positive Predictive Value 0.949
Nr of predictions 13

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.00 0.00 0.00 0 1540 0 0 0 0 20
3A3A_A 0.85 0.73 1.00 27 3628 0 0 0 0 10
3IVN_B 0.78 0.65 0.95 20 2325 1 1 0 0 11
3J3E_8 0.26 0.09 0.75 3 7499 1 0 1 0 30
3J3F_8 0.55 0.33 0.92 12 12233 1 0 1 0 24
3JYX_4 0.52 0.30 0.91 10 12235 3 0 1 2 23
3O58_3 0.56 0.34 0.92 12 12390 1 0 1 0 23
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.71 0.52 0.96 22 3893 1 0 1 0 20
3W3S_B 0.74 0.60 0.92 24 4727 3 0 2 1 16
3ZEX_C 0.46 0.23 0.92 12 14183 1 1 0 0 40
4A1C_2 0.46 0.24 0.89 8 11772 3 0 1 2 25
4JF2_A 0.72 0.52 1.00 16 2834 0 0 0 0 15

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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 150
Total TN 91422
Total FP 107
Total FP CONTRA 8
Total FP INCONS 66
Total FP COMP 33
Total FN 307
Total Scores
MCC 0.467
Average MCC ± 95% Confidence Intervals 0.459 ± 0.143
Sensitivity 0.328
Positive Predictive Value 0.670
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
2LC8_A -0.01 0.00 0.00 0 1530 10 0 10 0 20
3A3A_A 0.70 0.49 1.00 18 3637 0 0 0 0 19
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3J3E_8 0.12 0.09 0.17 3 7485 22 2 13 7 30
3J3F_8 0.44 0.33 0.57 12 12225 15 1 8 6 24
3JYX_4 0.39 0.30 0.50 10 12226 13 2 8 3 23
3O58_3 0.45 0.34 0.60 12 12383 12 2 6 4 23
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.60 0.38 0.94 16 3899 1 0 1 0 26
3W3S_B 0.55 0.30 1.00 12 4741 1 0 0 1 28
3ZEX_C 0.32 0.19 0.53 10 14177 13 1 8 4 42
4A1C_2 0.31 0.24 0.40 8 11761 20 0 12 8 25
4JF2_A 0.57 0.32 1.00 10 2840 0 0 0 0 21

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