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(20) - scored higher in this pairwise comparison

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

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


Overview

Metric MXScarna(20) RDfolder
MCC 0.718 > 0.563
Average MCC ± 95% Confidence Intervals 0.713 ± 0.086 > 0.576 ± 0.148
Sensitivity 0.590 > 0.447
Positive Predictive Value 0.880 > 0.718
Total TP 272 > 206
Total TN 42502 < 42524
Total FP 47 < 90
Total FP CONTRA 9 = 9
Total FP INCONS 28 < 72
Total FP COMP 10 > 9
Total FN 189 < 255
P-value 2.12160100812e-08

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Performance plots


  1. Comparison of performance of MXScarna(20) and RDfolder. 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(20) and RDfolder).

  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(20) and RDfolder).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for MXScarna(20) and RDfolder. 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(20) and RDfolder).

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

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

Total Base Pair Counts
Total TP 272
Total TN 42502
Total FP 47
Total FP CONTRA 9
Total FP INCONS 28
Total FP COMP 10
Total FN 189
Total Scores
MCC 0.718
Average MCC ± 95% Confidence Intervals 0.713 ± 0.086
Sensitivity 0.590
Positive Predictive Value 0.880
Nr of predictions 16

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2. Individual counts for MXScarna(20) [ 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
2WRQ_Y 0.57 0.59 0.56 10 2832 13 5 3 5 7
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
3A2K_C 0.66 0.57 0.76 16 2905 6 1 4 1 12
3AMU_B 0.86 0.74 1.00 20 2983 2 0 0 2 7
3GX2_A 0.70 0.58 0.85 23 4344 5 0 4 1 17
3IVN_B 0.74 0.58 0.95 18 2327 1 1 0 0 13
3J20_0 0.82 0.67 1.00 20 2830 0 0 0 0 10
3J3D_C 0.82 0.71 0.95 20 2754 1 0 1 0 8
3JYV_7 0.79 0.63 1.00 20 2830 0 0 0 0 12
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
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 2 6 0 19
4AOB_A 0.62 0.55 0.72 23 4339 10 0 9 1 19
4ENB_A 0.26 0.11 0.67 2 1272 1 0 1 0 17
4ENC_A 0.60 0.37 1.00 7 1319 0 0 0 0 12

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Performance of RDfolder - scored lower in this pairwise comparison

1. Total counts & total scores for RDfolder

Total Base Pair Counts
Total TP 206
Total TN 42524
Total FP 90
Total FP CONTRA 9
Total FP INCONS 72
Total FP COMP 9
Total FN 255
Total Scores
MCC 0.563
Average MCC ± 95% Confidence Intervals 0.576 ± 0.148
Sensitivity 0.447
Positive Predictive Value 0.718
Nr of predictions 16

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2. Individual counts for RDfolder [ 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
2WRQ_Y 0.57 0.59 0.56 10 2832 12 5 3 4 7
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
3A2K_C 0.86 0.75 1.00 21 2905 0 0 0 0 7
3AMU_B 0.18 0.15 0.22 4 2985 16 2 12 2 23
3GX2_A 0.50 0.40 0.64 16 4346 10 1 8 1 24
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3J20_0 0.73 0.57 0.94 17 2832 2 0 1 1 13
3J3D_C 0.72 0.61 0.85 17 2755 3 0 3 0 11
3JYV_7 -0.01 0.00 0.00 0 2830 20 0 20 0 32
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.30 0.17 0.54 7 3903 6 0 6 0 35
4AOB_A 0.35 0.26 0.48 11 4348 13 1 11 1 31
4ENB_A 0.43 0.32 0.60 6 1265 4 0 4 0 13
4ENC_A 0.43 0.32 0.60 6 1316 4 0 4 0 13

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