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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 0.572 > 0.480
Average MCC ± 95% Confidence Intervals 0.573 ± 0.049 > 0.466 ± 0.129
Sensitivity 0.356 < 0.363
Positive Predictive Value 0.923 > 0.640
Total TP 251 < 256
Total TN 160343 > 160215
Total FP 31 < 168
Total FP CONTRA 7 < 33
Total FP INCONS 14 < 111
Total FP COMP 10 < 24
Total FN 454 > 449
P-value 2.78993384543e-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 251
Total TN 160343
Total FP 31
Total FP CONTRA 7
Total FP INCONS 14
Total FP COMP 10
Total FN 454
Total Scores
MCC 0.572
Average MCC ± 95% Confidence Intervals 0.573 ± 0.049
Sensitivity 0.356
Positive Predictive Value 0.923
Nr of predictions 18

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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
2L94_A 0.59 0.40 0.89 8 981 1 0 1 0 12
2XKV_B 0.59 0.35 1.00 7 4553 2 0 0 2 13
2XXA_G 0.46 0.21 1.00 9 5142 0 0 0 0 33
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
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(20) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 256
Total TN 160215
Total FP 168
Total FP CONTRA 33
Total FP INCONS 111
Total FP COMP 24
Total FN 449
Total Scores
MCC 0.480
Average MCC ± 95% Confidence Intervals 0.466 ± 0.129
Sensitivity 0.363
Positive Predictive Value 0.640
Nr of predictions 18

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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
2KDQ_B 0.85 0.73 1.00 8 398 0 0 0 0 3
2L94_A 0.55 0.50 0.63 10 974 6 0 6 0 10
2XKV_B 0.00 0.00 0.00 0 4556 4 0 4 0 20
2XXA_G 0.46 0.21 1.00 9 5142 0 0 0 0 33
3GX2_A 0.33 0.15 0.75 6 4363 2 0 2 0 34
3IVN_B 0.78 0.65 0.95 20 2325 1 0 1 0 11
3IZ4_A 0.53 0.43 0.65 57 70788 35 8 23 4 75
3JYX_4 0.28 0.27 0.30 9 12216 33 5 16 12 24
3LA5_A 0.76 0.59 1.00 20 2465 0 0 0 0 14
3NPB_A 0.00 0.00 0.00 0 7015 6 1 5 0 46
3O58_3 0.32 0.34 0.30 12 12363 28 12 16 0 23
3PDR_A 0.67 0.49 0.92 35 12842 5 0 3 2 37
3RKF_A 0.77 0.62 0.95 21 2189 1 0 1 0 13
3SD1_A 0.68 0.60 0.78 25 3884 7 1 6 0 17
4A1C_2 0.19 0.18 0.20 6 11751 30 6 18 6 27
4AOB_A 0.28 0.14 0.55 6 4360 5 0 5 0 36
4ENB_A 0.48 0.32 0.75 6 1267 2 0 2 0 13
4ENC_A 0.45 0.32 0.67 6 1317 3 0 3 0 13

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