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 RSpredict(seed) - scored lower in this pairwise comparison

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


Overview

Metric RNASLOpt RSpredict(seed)
MCC 0.591 > 0.135
Average MCC ± 95% Confidence Intervals 0.590 ± 0.120 > 0.096 ± 0.076
Sensitivity 0.578 > 0.067
Positive Predictive Value 0.613 > 0.291
Total TP 336 > 39
Total TN 48773 < 49187
Total FP 291 > 101
Total FP CONTRA 69 > 16
Total FP INCONS 143 > 79
Total FP COMP 79 > 6
Total FN 245 < 542
P-value 5.06544643719e-08

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Performance plots


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

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

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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 336
Total TN 48773
Total FP 291
Total FP CONTRA 69
Total FP INCONS 143
Total FP COMP 79
Total FN 245
Total Scores
MCC 0.591
Average MCC ± 95% Confidence Intervals 0.590 ± 0.120
Sensitivity 0.578
Positive Predictive Value 0.613
Nr of predictions 24

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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
3J16_L 0.63 0.57 0.71 12 1142 5 0 5 0 9
3J20_0 0.74 0.76 0.73 16 1197 7 3 3 1 5
3J20_1 1.00 1.00 1.00 20 1092 1 0 0 1 0
3J2L_3 0.71 0.68 0.74 23 2989 11 0 8 3 11
3J3D_C 0.90 0.95 0.86 18 947 3 3 0 0 1
3J3E_7 0.61 0.56 0.68 19 2713 10 1 8 1 15
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
3J3F_7 0.21 0.22 0.22 8 2898 28 3 25 0 28
3UZL_B 0.55 0.50 0.62 8 1280 9 1 4 4 8
3W1K_J 0.93 0.90 0.97 28 1649 1 1 0 0 3
3W3S_B 0.90 0.85 0.97 28 1960 2 0 1 1 5
3ZEX_D 0.86 0.74 1.00 26 2770 4 0 0 4 9
3ZEX_C 0.32 0.34 0.31 10 5342 36 8 14 14 19
3ZND_W 0.26 0.38 0.19 3 1175 22 7 6 9 5
4A1C_3 0.79 0.73 0.87 27 2732 5 0 4 1 10
4A1C_2 0.30 0.40 0.24 8 4482 35 13 13 9 12
4AOB_A 0.31 0.28 0.38 8 1416 13 3 10 0 21
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

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Performance of RSpredict(seed) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 39
Total TN 49187
Total FP 101
Total FP CONTRA 16
Total FP INCONS 79
Total FP COMP 6
Total FN 542
Total Scores
MCC 0.135
Average MCC ± 95% Confidence Intervals 0.096 ± 0.076
Sensitivity 0.067
Positive Predictive Value 0.291
Nr of predictions 24

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A -0.03 0.00 0.00 0 515 13 0 13 0 18
3J16_L 0.00 0.00 0.00 0 1158 1 0 1 0 21
3J20_0 -0.01 0.00 0.00 0 1215 4 0 4 0 21
3J20_1 -0.01 0.00 0.00 0 1108 5 0 4 1 20
3J2L_3 0.00 0.00 0.00 0 3015 5 0 5 0 34
3J3D_C -0.01 0.00 0.00 0 964 4 1 3 0 19
3J3E_7 -0.01 0.00 0.00 0 2733 8 1 7 0 34
3J3E_8 0.00 0.00 0.00 0 2742 0 0 0 0 15
3J3F_8 0.19 0.11 0.33 2 4755 5 3 1 1 17
3J3F_7 0.00 0.00 0.00 0 2930 4 1 3 0 36
3UZL_B -0.01 0.00 0.00 0 1287 6 3 3 0 16
3W1K_J 0.57 0.35 0.92 11 1666 1 0 1 0 20
3W3S_B 0.45 0.36 0.57 12 1968 10 1 8 1 21
3ZEX_D 0.00 0.00 0.00 0 2794 2 0 2 0 35
3ZEX_C 0.13 0.07 0.25 2 5366 6 2 4 0 27
3ZND_W 0.00 0.00 0.00 0 1189 4 0 2 2 8
4A1C_3 0.00 0.00 0.00 0 2759 4 2 2 0 37
4A1C_2 0.00 0.00 0.00 0 4512 5 2 2 1 20
4AOB_A 0.42 0.21 0.86 6 1430 1 0 1 0 23
4ENB_A 0.34 0.20 0.60 3 467 2 0 2 0 12
4ENC_A 0.34 0.20 0.60 3 491 2 0 2 0 12
4FRG_B -0.01 0.00 0.00 0 1200 2 0 2 0 24
4FRN_A 0.00 0.00 0.00 0 1845 3 0 3 0 28
4JF2_A -0.01 0.00 0.00 0 1078 4 0 4 0 24

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