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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 RNASampler(20) - scored lower in this pairwise comparison

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


Overview

Metric TurboFold(20) RNASampler(20)
MCC 0.655 > 0.623
Average MCC ± 95% Confidence Intervals 0.670 ± 0.108 > 0.650 ± 0.121
Sensitivity 0.529 > 0.476
Positive Predictive Value 0.816 < 0.821
Total TP 280 > 252
Total TN 74024 < 74060
Total FP 82 > 78
Total FP CONTRA 5 > 2
Total FP INCONS 58 > 53
Total FP COMP 19 < 23
Total FN 249 < 277
P-value 1.75835195567e-08

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Performance plots


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

  2. Comparison of performance of TurboFold(20) and RNASampler(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 TurboFold(20) and RNASampler(20)).

  3. 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 RNASampler(20)).

  4. 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 RNASampler(20)).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for TurboFold(20) and RNASampler(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 TurboFold(20) and RNASampler(20)).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for TurboFold(20) and RNASampler(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 TurboFold(20) and RNASampler(20)).

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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 280
Total TN 74024
Total FP 82
Total FP CONTRA 5
Total FP INCONS 58
Total FP COMP 19
Total FN 249
Total Scores
MCC 0.655
Average MCC ± 95% Confidence Intervals 0.670 ± 0.108
Sensitivity 0.529
Positive Predictive Value 0.816
Nr of predictions 15

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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
2L94_A 0.92 0.90 0.95 18 971 1 0 1 0 2
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
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
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.59 0.48 0.74 20 3889 7 1 6 0 22
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
4A1C_3 0.69 0.57 0.84 31 7103 6 0 6 0 23
4A1C_2 0.18 0.15 0.21 5 11757 28 0 19 9 28
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 RNASampler(20) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 252
Total TN 74060
Total FP 78
Total FP CONTRA 2
Total FP INCONS 53
Total FP COMP 23
Total FN 277
Total Scores
MCC 0.623
Average MCC ± 95% Confidence Intervals 0.650 ± 0.121
Sensitivity 0.476
Positive Predictive Value 0.821
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.92 0.90 0.95 18 971 1 0 1 0 2
3AMU_B 0.82 0.70 0.95 19 2983 3 0 1 2 8
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J20_0 0.80 0.67 0.95 20 2829 2 0 1 1 10
3J2L_3 0.45 0.32 0.63 17 7848 12 1 9 2 36
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.67 0.48 0.95 20 3895 1 0 1 0 22
3ZEX_C 0.27 0.19 0.38 10 14170 20 1 15 4 42
3ZEX_D 0.68 0.49 0.96 24 6996 1 0 1 0 25
4A1C_3 0.74 0.56 1.00 30 7110 0 0 0 0 24
4A1C_2 0.18 0.15 0.23 5 11759 30 0 17 13 28
4AOB_A 0.58 0.40 0.85 17 4351 4 0 3 1 25
4ENB_A 0.60 0.37 1.00 7 1268 0 0 0 0 12
4ENC_A 0.76 0.58 1.00 11 1315 0 0 0 0 8
4FRG_B 0.55 0.41 0.76 13 3469 4 0 4 0 19

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