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

  1. Overview

  2. Performance Plots

  3. Performance of RNASLOpt - scored higher in this pairwise comparison

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

  5. Compile and download dataset for RNASLOpt & MCFold [.zip] - may take several seconds...


Overview

Metric RNASLOpt MCFold
MCC 0.509 > 0.370
Average MCC ± 95% Confidence Intervals 0.517 ± 0.148 > 0.377 ± 0.120
Sensitivity 0.516 > 0.421
Positive Predictive Value 0.513 > 0.338
Total TP 163 > 133
Total TN 27963 > 27888
Total FP 211 < 322
Total FP CONTRA 69 > 62
Total FP INCONS 86 < 198
Total FP COMP 56 < 62
Total FN 153 < 183
P-value 2.61939086268e-08

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Performance plots


  1. Comparison of performance of RNASLOpt 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 RNASLOpt 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 RNASLOpt and MCFold).

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

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Performance of RNASLOpt - scored higher in this pairwise comparison

1. Total counts & total scores for RNASLOpt

Total Base Pair Counts
Total TP 163
Total TN 27963
Total FP 211
Total FP CONTRA 69
Total FP INCONS 86
Total FP COMP 56
Total FN 153
Total Scores
MCC 0.509
Average MCC ± 95% Confidence Intervals 0.517 ± 0.148
Sensitivity 0.516
Positive Predictive Value 0.513
Nr of predictions 17

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.48 0.39 0.64 7 517 4 0 4 0 11
2M58_A - 0.37 0.33 0.44 4 535 5 4 1 0 8
3J0L_a - 0.21 0.18 0.29 2 404 6 3 2 1 9
3J20_0 0.74 0.76 0.73 16 1197 7 3 3 1 5
3J3D_C 0.90 0.95 0.86 18 947 3 3 0 0 1
3J3E_8 -0.01 0.00 0.00 0 2724 30 6 12 12 15
3J3F_8 0.39 0.47 0.32 9 4733 38 10 9 19 10
3U4M_B - 0.49 0.55 0.46 12 1250 14 3 11 0 10
3ZEX_C 0.32 0.34 0.31 10 5342 36 8 14 14 19
4A1C_2 0.30 0.40 0.24 8 4482 35 13 13 9 12
4ATO_G - 0.36 0.43 0.33 3 211 6 6 0 0 4
4ENB_A 0.85 0.73 1.00 11 461 0 0 0 0 4
4ENC_A 0.73 0.60 0.90 9 486 1 1 0 0 6
4FRG_B 0.60 0.58 0.64 14 1180 8 3 5 0 10
4FRN_A 0.19 0.18 0.22 5 1825 18 6 12 0 23
4JF2_A 0.89 0.79 1.00 19 1063 0 0 0 0 5
4JRC_A - 0.97 0.94 1.00 16 606 0 0 0 0 1

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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 133
Total TN 27888
Total FP 322
Total FP CONTRA 62
Total FP INCONS 198
Total FP COMP 62
Total FN 183
Total Scores
MCC 0.370
Average MCC ± 95% Confidence Intervals 0.377 ± 0.120
Sensitivity 0.421
Positive Predictive Value 0.338
Nr of predictions 17

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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
2M58_A - 0.22 0.25 0.23 3 531 13 1 9 3 9
3J0L_a - 0.14 0.18 0.15 2 398 13 1 10 2 9
3J20_0 0.66 0.71 0.63 15 1195 11 3 6 2 6
3J3D_C 0.54 0.63 0.48 12 943 13 4 9 0 7
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
3U4M_B - 0.74 0.77 0.71 17 1252 10 1 6 3 5
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
4ATO_G - 0.36 0.43 0.33 3 211 8 0 6 2 4
4ENB_A 0.78 0.73 0.85 11 459 4 0 2 2 4
4ENC_A 0.34 0.33 0.38 5 483 11 0 8 3 10
4FRG_B 0.35 0.38 0.35 9 1176 17 3 14 0 15
4FRN_A 0.09 0.11 0.10 3 1818 28 2 25 1 25
4JF2_A 0.74 0.75 0.75 18 1058 7 1 5 1 6
4JRC_A - 0.24 0.29 0.23 5 600 17 0 17 0 12

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