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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric MXScarna(seed) RNASampler(seed)
MCC 0.506 > 0.482
Average MCC ± 95% Confidence Intervals 0.497 ± 0.149 > 0.494 ± 0.152
Sensitivity 0.380 > 0.342
Positive Predictive Value 0.677 < 0.684
Total TP 178 > 160
Total TN 91789 < 91818
Total FP 148 > 107
Total FP CONTRA 12 > 8
Total FP INCONS 73 > 66
Total FP COMP 63 > 33
Total FN 290 < 308
P-value 2.18141491686e-08

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 178
Total TN 91789
Total FP 148
Total FP CONTRA 12
Total FP INCONS 73
Total FP COMP 63
Total FN 290
Total Scores
MCC 0.506
Average MCC ± 95% Confidence Intervals 0.497 ± 0.149
Sensitivity 0.380
Positive Predictive Value 0.677
Nr of predictions 14

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2. Individual counts for MXScarna(seed) [ 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 0 0 0 0 1
2LC8_A -0.01 0.00 0.00 0 1530 12 0 10 2 20
3A3A_A 0.77 0.65 0.92 24 3629 3 0 2 1 13
3IVN_B 0.65 0.45 0.93 14 2331 1 1 0 0 17
3J3E_8 0.16 0.09 0.27 3 7492 14 1 7 6 30
3J3F_8 0.45 0.33 0.60 12 12226 18 1 7 10 24
3JYX_4 0.38 0.30 0.48 10 12225 21 3 8 10 23
3O58_3 0.45 0.34 0.60 12 12383 19 2 6 11 23
3RKF_A 0.72 0.53 1.00 18 2193 0 0 0 0 16
3SD1_A 0.63 0.55 0.74 23 3885 8 1 7 0 19
3W3S_B 0.69 0.60 0.80 24 4723 6 0 6 0 16
3ZEX_C 0.32 0.19 0.53 10 14177 20 2 7 11 42
4A1C_2 0.35 0.24 0.50 8 11765 20 1 7 12 25
4JF2_A 0.44 0.32 0.63 10 2834 6 0 6 0 21

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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 160
Total TN 91818
Total FP 107
Total FP CONTRA 8
Total FP INCONS 66
Total FP COMP 33
Total FN 308
Total Scores
MCC 0.482
Average MCC ± 95% Confidence Intervals 0.494 ± 0.152
Sensitivity 0.342
Positive Predictive Value 0.684
Nr of predictions 14

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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
2KDQ_B 0.95 0.91 1.00 10 396 0 0 0 0 1
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.