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(seed) - scored higher in this pairwise comparison

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

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


Overview

Metric RNASampler(seed) RSpredict(seed)
MCC 0.673 > 0.555
Average MCC ± 95% Confidence Intervals 0.690 ± 0.136 > 0.536 ± 0.178
Sensitivity 0.535 > 0.390
Positive Predictive Value 0.851 > 0.795
Total TP 240 > 175
Total TN 61077 < 61139
Total FP 59 > 48
Total FP CONTRA 4 > 1
Total FP INCONS 38 < 44
Total FP COMP 17 > 3
Total FN 209 < 274
P-value 2.30549897711e-08

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 240
Total TN 61077
Total FP 59
Total FP CONTRA 4
Total FP INCONS 38
Total FP COMP 17
Total FN 209
Total Scores
MCC 0.673
Average MCC ± 95% Confidence Intervals 0.690 ± 0.136
Sensitivity 0.535
Positive Predictive Value 0.851
Nr of predictions 17

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2. Individual counts for RNASampler(seed) [ 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
2KE6_A 0.92 0.84 1.00 16 1112 1 0 0 1 3
2KUR_A 0.90 0.81 1.00 17 1111 0 0 0 0 4
2KUU_A 0.87 0.76 1.00 16 1112 1 0 0 1 5
2KUV_A 0.88 0.77 1.00 17 1111 0 0 0 0 5
2KUW_A 0.90 0.81 1.00 17 1111 0 0 0 0 4
2L1F_B 0.82 0.68 1.00 17 2128 0 0 0 0 8
2L1F_A 0.81 0.67 1.00 16 2064 0 0 0 0 8
2L94_A 0.71 0.55 0.92 11 978 1 0 1 0 9
2LC8_A -0.01 0.00 0.00 0 1530 10 0 10 0 20
3A3A_A 0.70 0.49 1.00 18 3637 0 0 0 0 19
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3JYX_4 0.39 0.30 0.50 10 12226 13 2 8 3 23
3O58_3 0.45 0.34 0.60 12 12383 12 2 6 4 23
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.60 0.38 0.94 16 3899 1 0 1 0 26
4A1C_2 0.31 0.24 0.40 8 11761 20 0 12 8 25

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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 175
Total TN 61139
Total FP 48
Total FP CONTRA 1
Total FP INCONS 44
Total FP COMP 3
Total FN 274
Total Scores
MCC 0.555
Average MCC ± 95% Confidence Intervals 0.536 ± 0.178
Sensitivity 0.390
Positive Predictive Value 0.795
Nr of predictions 17

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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
2KDQ_B 0.85 0.73 1.00 8 398 0 0 0 0 3
2KE6_A 0.83 0.74 0.93 14 1113 2 0 1 1 5
2KUR_A 0.82 0.71 0.94 15 1112 1 0 1 0 6
2KUU_A 0.79 0.67 0.93 14 1113 2 0 1 1 7
2KUV_A 0.80 0.68 0.94 15 1112 1 0 1 0 7
2KUW_A 0.73 0.62 0.87 13 1113 2 0 2 0 8
2L1F_B 0.85 0.80 0.91 20 2123 2 0 2 0 5
2L1F_A 0.80 0.75 0.86 18 2059 3 0 3 0 6
2L94_A 0.57 0.50 0.67 10 975 5 0 5 0 10
2LC8_A -0.01 0.00 0.00 0 1527 13 0 13 0 20
3A3A_A 0.48 0.30 0.79 11 3641 3 0 3 0 26
3IVN_B 0.69 0.52 0.94 16 2329 1 0 1 0 15
3JYX_4 0.00 0.00 0.00 0 12241 5 0 5 0 33
3O58_3 0.23 0.09 0.60 3 12398 2 0 2 0 32
3RKF_A 0.71 0.53 0.95 18 2192 1 0 1 0 16
3SD1_A 0.00 0.00 0.00 0 3916 0 0 0 0 42
4A1C_2 0.00 0.00 0.00 0 11777 5 1 3 1 33

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