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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric TurboFold(20) RNASLOpt
MCC 0.606 > 0.464
Average MCC ± 95% Confidence Intervals 0.606 ± 0.116 > 0.492 ± 0.139
Sensitivity 0.502 > 0.387
Positive Predictive Value 0.737 > 0.562
Total TP 316 > 244
Total TN 103745 > 103740
Total FP 156 < 237
Total FP CONTRA 10 < 21
Total FP INCONS 103 < 169
Total FP COMP 43 < 47
Total FN 314 < 386
P-value 3.30280588002e-08

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 316
Total TN 103745
Total FP 156
Total FP CONTRA 10
Total FP INCONS 103
Total FP COMP 43
Total FN 314
Total Scores
MCC 0.606
Average MCC ± 95% Confidence Intervals 0.606 ± 0.116
Sensitivity 0.502
Positive Predictive Value 0.737
Nr of predictions 17

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2. Individual counts for TurboFold(20) [ 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 0 5 1 13
3J2L_3 0.74 0.58 0.94 31 7842 5 0 2 3 22
3J3D_C 0.82 0.71 0.95 20 2754 1 0 1 0 8
3J3E_7 0.65 0.54 0.78 29 7103 8 1 7 0 25
3J3E_8 0.17 0.15 0.21 5 7479 28 2 17 9 28
3J3F_8 0.38 0.36 0.39 13 12213 34 2 18 14 23
3J3F_7 0.79 0.68 0.92 34 7223 4 0 3 1 16
3ZEX_C 0.39 0.27 0.56 14 14171 14 2 9 3 38
3ZEX_D 0.76 0.63 0.91 31 6987 3 0 3 0 18
3ZND_W 0.43 0.39 0.47 9 2984 12 1 9 2 14
4A1C_2 0.18 0.15 0.21 5 11757 28 0 19 9 28
4A1C_3 0.69 0.57 0.84 31 7103 6 0 6 0 23
4AOB_A 0.56 0.40 0.77 17 4349 6 1 4 1 25
4ENB_A 0.69 0.47 1.00 9 1266 0 0 0 0 10
4ENC_A 0.65 0.47 0.90 9 1316 1 1 0 0 10
4FRG_B 0.81 0.66 1.00 21 3465 0 0 0 0 11

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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.