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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 RNASLOpt - scored lower in this pairwise comparison

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


Overview

Metric MXScarna(seed) RNASLOpt
MCC 0.611 > 0.533
Average MCC ± 95% Confidence Intervals 0.578 ± 0.126 > 0.551 ± 0.120
Sensitivity 0.489 > 0.431
Positive Predictive Value 0.770 > 0.666
Total TP 278 > 245
Total TN 81675 > 81668
Total FP 111 < 146
Total FP CONTRA 12 < 17
Total FP INCONS 71 < 106
Total FP COMP 28 > 23
Total FN 291 < 324
P-value 3.05041766982e-08

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Performance plots


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

  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 RNASLOpt).

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

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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 278
Total TN 81675
Total FP 111
Total FP CONTRA 12
Total FP INCONS 71
Total FP COMP 28
Total FN 291
Total Scores
MCC 0.611
Average MCC ± 95% Confidence Intervals 0.578 ± 0.126
Sensitivity 0.489
Positive Predictive Value 0.770
Nr of predictions 16

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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
2LC8_A -0.01 0.00 0.00 0 1530 12 0 10 2 20
3J16_L 0.82 0.67 1.00 20 2755 0 0 0 0 10
3J20_1 0.93 0.87 1.00 20 2906 0 0 0 0 3
3J20_0 0.79 0.63 1.00 19 2831 0 0 0 0 11
3J2L_3 0.60 0.49 0.74 26 7840 11 1 8 2 27
3UZL_B 0.66 0.49 0.90 18 3550 2 1 1 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
3ZEX_D 0.76 0.69 0.83 34 6980 7 1 6 0 15
4A1C_3 0.75 0.65 0.88 35 7100 5 1 4 0 19
4A1C_2 0.35 0.24 0.50 8 11765 20 1 7 12 25
4AOB_A 0.66 0.55 0.79 23 4342 7 0 6 1 19
4ENB_A 0.48 0.32 0.75 6 1267 2 0 2 0 13
4ENC_A 0.43 0.32 0.60 6 1316 4 1 3 0 13
4FRG_B 0.41 0.31 0.56 10 3468 8 2 6 0 22
4FRN_A 0.62 0.53 0.73 19 5125 7 2 5 0 17

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Performance of RNASLOpt - scored lower in this pairwise comparison

1. Total counts & total scores for RNASLOpt

Total Base Pair Counts
Total TP 245
Total TN 81668
Total FP 146
Total FP CONTRA 17
Total FP INCONS 106
Total FP COMP 23
Total FN 324
Total Scores
MCC 0.533
Average MCC ± 95% Confidence Intervals 0.551 ± 0.120
Sensitivity 0.431
Positive Predictive Value 0.666
Nr of predictions 16

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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 0.47 0.35 0.64 7 1529 4 0 4 0 13
3J16_L 0.53 0.40 0.71 12 2758 5 0 5 0 18
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J20_0 0.66 0.57 0.77 17 2828 6 1 4 1 13
3J2L_3 0.56 0.43 0.72 23 7843 11 0 9 2 30
3UZL_B 0.48 0.32 0.71 12 3553 5 0 5 0 25
3W3S_B 0.82 0.70 0.97 28 4724 2 0 1 1 12
3ZEX_C 0.26 0.21 0.33 11 14163 35 2 20 13 41
3ZEX_D 0.76 0.59 0.97 29 6991 1 0 1 0 20
4A1C_3 0.67 0.52 0.88 28 7108 4 0 4 0 26
4A1C_2 0.23 0.24 0.22 8 11744 35 8 21 6 25
4AOB_A 0.26 0.19 0.38 8 4350 13 2 11 0 34
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.65 0.47 0.90 9 1316 1 1 0 0 10
4FRG_B 0.56 0.47 0.68 15 3464 7 1 6 0 17
4FRN_A 0.20 0.17 0.26 6 5128 17 2 15 0 30

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