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

  1. Overview

  2. Performance Plots

  3. Performance of RNASampler(20) - scored higher in this pairwise comparison

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

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


Overview

Metric RNASampler(20) RNASLOpt
MCC 0.573 > 0.480
Average MCC ± 95% Confidence Intervals 0.587 ± 0.193 > 0.514 ± 0.210
Sensitivity 0.539 > 0.500
Positive Predictive Value 0.617 > 0.470
Total TP 111 > 103
Total TN 23007 > 22968
Total FP 106 < 171
Total FP CONTRA 21 < 50
Total FP INCONS 48 < 66
Total FP COMP 37 < 55
Total FN 95 < 103
P-value 1.03576421863e-08

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Performance plots


  1. Comparison of performance of RNASampler(20) 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 RNASampler(20) 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 RNASampler(20) and RNASLOpt).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASampler(20) 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 RNASampler(20) and RNASLOpt).

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

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

Total Base Pair Counts
Total TP 111
Total TN 23007
Total FP 106
Total FP CONTRA 21
Total FP INCONS 48
Total FP COMP 37
Total FN 95
Total Scores
MCC 0.573
Average MCC ± 95% Confidence Intervals 0.587 ± 0.193
Sensitivity 0.539
Positive Predictive Value 0.617
Nr of predictions 10

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2. Individual counts for RNASampler(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3J20_0 0.90 0.90 0.90 19 1198 3 1 1 1 2
3J3D_C 0.90 0.95 0.86 18 947 3 3 0 0 1
3J3E_8 0.19 0.20 0.19 3 2726 21 5 8 8 12
3J3F_8 0.43 0.47 0.39 9 4738 20 6 8 6 10
3ZEX_C 0.35 0.31 0.39 9 5351 21 3 11 7 20
4A1C_2 0.24 0.25 0.24 5 4495 30 3 13 14 15
4AOB_A 0.70 0.59 0.85 17 1417 4 0 3 1 12
4ENB_A 0.68 0.47 1.00 7 465 0 0 0 0 8
4ENC_A 0.85 0.73 1.00 11 485 0 0 0 0 4
4FRG_B 0.64 0.54 0.76 13 1185 4 0 4 0 11

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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 103
Total TN 22968
Total FP 171
Total FP CONTRA 50
Total FP INCONS 66
Total FP COMP 55
Total FN 103
Total Scores
MCC 0.480
Average MCC ± 95% Confidence Intervals 0.514 ± 0.210
Sensitivity 0.500
Positive Predictive Value 0.470
Nr of predictions 10

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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
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
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
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

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