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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(seed) - scored lower in this pairwise comparison

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


Overview

Metric RNAalifold(seed) RSpredict(seed)
MCC 0.539 > 0.284
Average MCC ± 95% Confidence Intervals 0.513 ± 0.102 > 0.279 ± 0.139
Sensitivity 0.336 > 0.136
Positive Predictive Value 0.866 > 0.597
Total TP 266 > 108
Total TN 216389 < 216515
Total FP 53 < 75
Total FP CONTRA 12 > 6
Total FP INCONS 29 < 67
Total FP COMP 12 > 2
Total FN 526 < 684
P-value 3.48104284388e-08

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Performance plots


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

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

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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 266
Total TN 216389
Total FP 53
Total FP CONTRA 12
Total FP INCONS 29
Total FP COMP 12
Total FN 526
Total Scores
MCC 0.539
Average MCC ± 95% Confidence Intervals 0.513 ± 0.102
Sensitivity 0.336
Positive Predictive Value 0.866
Nr of predictions 19

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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
2KDQ_B 0.52 0.27 1.00 3 403 0 0 0 0 8
2KX8_A 0.00 0.00 0.00 0 861 0 0 0 0 18
2LC8_A -0.01 0.00 0.00 0 1528 12 0 12 0 20
3A3A_A 0.71 0.51 1.00 19 3636 0 0 0 0 18
3GX2_A 0.74 0.55 1.00 22 4349 1 0 0 1 18
3IVN_B 0.61 0.48 0.79 15 2327 4 2 2 0 16
3IYQ_A 0.38 0.21 0.69 20 60697 13 5 4 4 74
3IZ4_A 0.42 0.21 0.85 28 70843 5 1 4 0 104
3JYX_4 0.46 0.21 1.00 7 12239 2 0 0 2 26
3LA5_A 0.63 0.47 0.84 16 2466 3 1 2 0 18
3NPB_A 0.66 0.48 0.92 22 6997 3 1 1 1 24
3O58_3 0.51 0.26 1.00 9 12394 0 0 0 0 26
3PDR_A 0.68 0.46 1.00 33 12847 1 0 0 1 39
3RKF_A 0.63 0.47 0.84 16 2192 3 1 2 0 18
3SD1_A 0.58 0.40 0.85 17 3896 3 1 2 0 25
4A1C_2 0.39 0.15 1.00 5 11776 2 0 0 2 28
4AOB_A 0.72 0.52 1.00 22 4349 1 0 0 1 20
4ENB_A 0.56 0.32 1.00 6 1269 0 0 0 0 13
4ENC_A 0.56 0.32 1.00 6 1320 0 0 0 0 13

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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 108
Total TN 216515
Total FP 75
Total FP CONTRA 6
Total FP INCONS 67
Total FP COMP 2
Total FN 684
Total Scores
MCC 0.284
Average MCC ± 95% Confidence Intervals 0.279 ± 0.139
Sensitivity 0.136
Positive Predictive Value 0.597
Nr of predictions 19

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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
2KX8_A 0.00 0.00 0.00 0 860 1 0 1 0 18
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
3GX2_A 0.36 0.15 0.86 6 4364 1 0 1 0 34
3IVN_B 0.69 0.52 0.94 16 2329 1 0 1 0 15
3IYQ_A 0.14 0.07 0.28 7 60701 19 5 13 1 87
3IZ4_A 0.21 0.08 0.59 10 70859 7 0 7 0 122
3JYX_4 0.00 0.00 0.00 0 12241 5 0 5 0 33
3LA5_A 0.70 0.50 1.00 17 2468 0 0 0 0 17
3NPB_A 0.00 0.00 0.00 0 7017 4 0 4 0 46
3O58_3 0.23 0.09 0.60 3 12398 2 0 2 0 32
3PDR_A 0.00 0.00 0.00 0 12872 8 0 8 0 72
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
4AOB_A 0.35 0.14 0.86 6 4364 1 0 1 0 36
4ENB_A 0.30 0.16 0.60 3 1270 2 0 2 0 16
4ENC_A 0.30 0.16 0.60 3 1321 2 0 2 0 16

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