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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RSpredict(20) RNASLOpt
MCC 0.491 > 0.464
Average MCC ± 95% Confidence Intervals 0.471 ± 0.125 < 0.492 ± 0.139
Sensitivity 0.373 < 0.387
Positive Predictive Value 0.653 > 0.562
Total TP 235 < 244
Total TN 103814 > 103740
Total FP 145 < 237
Total FP CONTRA 16 < 21
Total FP INCONS 109 < 169
Total FP COMP 20 < 47
Total FN 395 > 386
P-value 5.86366296137e-06

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 235
Total TN 103814
Total FP 145
Total FP CONTRA 16
Total FP INCONS 109
Total FP COMP 20
Total FN 395
Total Scores
MCC 0.491
Average MCC ± 95% Confidence Intervals 0.471 ± 0.125
Sensitivity 0.373
Positive Predictive Value 0.653
Nr of predictions 17

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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
3J20_1 0.66 0.48 0.92 11 2914 1 0 1 0 12
3J20_0 0.80 0.67 0.95 20 2829 2 0 1 1 10
3J2L_3 0.58 0.40 0.84 21 7850 5 0 4 1 32
3J3D_C 0.76 0.64 0.90 18 2755 2 0 2 0 10
3J3E_7 0.63 0.50 0.79 27 7106 7 1 6 0 27
3J3E_8 0.00 0.00 0.00 0 7484 19 4 15 0 33
3J3F_8 0.39 0.33 0.46 12 12220 23 2 12 9 24
3J3F_7 0.79 0.68 0.92 34 7223 3 0 3 0 16
3ZEX_C 0.26 0.19 0.36 10 14168 18 2 16 0 42
3ZEX_D 0.76 0.65 0.89 32 6985 4 1 3 0 17
3ZND_W 0.34 0.22 0.56 5 2994 7 0 4 3 18
4A1C_2 0.19 0.18 0.20 6 11751 30 6 18 6 27
4A1C_3 0.48 0.33 0.69 18 7114 8 0 8 0 36
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
4FRG_B 0.17 0.09 0.33 3 3477 6 0 6 0 29

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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 244
Total TN 103740
Total FP 237
Total FP CONTRA 21
Total FP INCONS 169
Total FP COMP 47
Total FN 386
Total Scores
MCC 0.464
Average MCC ± 95% Confidence Intervals 0.492 ± 0.139
Sensitivity 0.387
Positive Predictive Value 0.562
Nr of predictions 17

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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_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J20_0 0.66 0.57 0.77 17 2828 6 1 4 1 13
3J2L_3 0.56 0.43 0.72 23 7843 11 0 9 2 30
3J3D_C 0.82 0.71 0.95 20 2754 1 0 1 0 8
3J3E_7 0.48 0.35 0.66 19 7111 10 0 10 0 35
3J3E_8 0.00 0.00 0.00 0 7483 30 1 19 10 33
3J3F_8 0.34 0.33 0.35 12 12212 35 3 19 13 24
3J3F_7 0.18 0.16 0.22 8 7224 28 1 27 0 42
3ZEX_C 0.26 0.21 0.33 11 14163 35 2 20 13 41
3ZEX_D 0.76 0.59 0.97 29 6991 1 0 1 0 20
3ZND_W 0.21 0.22 0.22 5 2980 20 1 17 2 18
4A1C_2 0.23 0.24 0.22 8 11744 35 8 21 6 25
4A1C_3 0.67 0.52 0.88 28 7108 4 0 4 0 26
4AOB_A 0.26 0.19 0.38 8 4350 13 2 11 0 34
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.65 0.47 0.90 9 1316 1 1 0 0 10
4FRG_B 0.56 0.47 0.68 15 3464 7 1 6 0 17

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