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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of RNAalifold(seed) - scored higher in this pairwise comparison

  4. Performance of RSpredict(20) - scored lower in this pairwise comparison

  5. Compile and download dataset for RNAalifold(seed) & RSpredict(20) [.zip] - may take several seconds...


Overview

Metric RNAalifold(seed) RSpredict(20)
MCC 0.685 > 0.590
Average MCC ± 95% Confidence Intervals 0.693 ± 0.077 > 0.564 ± 0.176
Sensitivity 0.515 < 0.524
Positive Predictive Value 0.918 > 0.671
Total TP 212 < 216
Total TN 49813 > 49722
Total FP 31 < 129
Total FP CONTRA 12 < 51
Total FP INCONS 7 < 55
Total FP COMP 12 < 23
Total FN 200 > 196
P-value 1.75835195567e-08

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Performance plots


  1. Comparison of performance of RNAalifold(seed) and RSpredict(20). 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 RNAalifold(seed) and RSpredict(20)).

  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 RNAalifold(seed) and RSpredict(20)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAalifold(seed) and RSpredict(20). 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 RNAalifold(seed) and RSpredict(20)).

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

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

Total Base Pair Counts
Total TP 212
Total TN 49813
Total FP 31
Total FP CONTRA 12
Total FP INCONS 7
Total FP COMP 12
Total FN 200
Total Scores
MCC 0.685
Average MCC ± 95% Confidence Intervals 0.693 ± 0.077
Sensitivity 0.515
Positive Predictive Value 0.918
Nr of predictions 13

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3GX2_A 0.88 0.79 1.00 22 1427 1 0 0 1 6
3IVN_B 0.71 0.65 0.79 15 884 4 2 2 0 8
3IZ4_A 0.46 0.26 0.81 25 25505 8 6 0 2 70
3LA5_A 0.73 0.64 0.84 16 935 3 1 2 0 9
3NPB_A 0.77 0.59 1.00 22 2256 3 0 0 3 15
3O58_3 0.60 0.36 1.00 8 4756 1 0 0 1 14
3PDR_A 0.81 0.66 1.00 33 4807 1 0 0 1 17
3RKF_A 0.74 0.67 0.84 16 847 3 1 2 0 8
3SD1_A 0.70 0.59 0.85 17 1513 3 2 1 0 12
4A1C_2 0.50 0.25 1.00 5 4511 2 0 0 2 15
4AOB_A 0.85 0.72 1.00 21 1416 2 0 0 2 8
4ENB_A 0.63 0.40 1.00 6 466 0 0 0 0 9
4ENC_A 0.63 0.40 1.00 6 490 0 0 0 0 9

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Performance of RSpredict(20) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 216
Total TN 49722
Total FP 129
Total FP CONTRA 51
Total FP INCONS 55
Total FP COMP 23
Total FN 196
Total Scores
MCC 0.590
Average MCC ± 95% Confidence Intervals 0.564 ± 0.176
Sensitivity 0.524
Positive Predictive Value 0.671
Nr of predictions 13

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3GX2_A 0.40 0.21 0.75 6 1441 2 1 1 0 22
3IVN_B 0.91 0.87 0.95 20 882 1 1 0 0 3
3IZ4_A 0.61 0.57 0.67 54 25455 38 13 14 11 41
3LA5_A 0.89 0.80 1.00 20 934 0 0 0 0 5
3NPB_A -0.01 0.00 0.00 0 2272 6 1 5 0 37
3O58_3 0.38 0.50 0.30 11 4727 29 15 11 3 11
3PDR_A 0.80 0.70 0.92 35 4802 5 1 2 2 15
3RKF_A 0.91 0.88 0.95 21 844 1 1 0 0 3
3SD1_A 0.82 0.86 0.78 25 1501 7 5 2 0 4
4A1C_2 0.25 0.30 0.21 6 4487 30 12 11 7 14
4AOB_A 0.33 0.21 0.55 6 1426 5 1 4 0 23
4ENB_A 0.54 0.40 0.75 6 464 2 0 2 0 9
4ENC_A 0.51 0.40 0.67 6 487 3 0 3 0 9

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