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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of PETfold_pre2.0(seed) - scored higher in this pairwise comparison

  4. Performance of RSpredict(20) - scored lower in this pairwise comparison

  5. Compile and download dataset for PETfold_pre2.0(seed) & RSpredict(20) [.zip] - may take several seconds...


Overview

Metric PETfold_pre2.0(seed) RSpredict(20)
MCC 0.669 > 0.496
Average MCC ± 95% Confidence Intervals 0.687 ± 0.078 > 0.473 ± 0.117
Sensitivity 0.534 > 0.365
Positive Predictive Value 0.841 > 0.675
Total TP 580 > 397
Total TN 532685 < 532787
Total FP 138 < 212
Total FP CONTRA 10 < 21
Total FP INCONS 100 < 170
Total FP COMP 28 > 21
Total FN 507 < 690
P-value 3.18846395401e-08

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Performance plots


  1. Comparison of performance of PETfold_pre2.0(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 PETfold_pre2.0(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 PETfold_pre2.0(seed) and RSpredict(20)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for PETfold_pre2.0(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 PETfold_pre2.0(seed) and RSpredict(20)).

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Performance of PETfold_pre2.0(seed) - scored higher in this pairwise comparison

1. Total counts & total scores for PETfold_pre2.0(seed)

Total Base Pair Counts
Total TP 580
Total TN 532685
Total FP 138
Total FP CONTRA 10
Total FP INCONS 100
Total FP COMP 28
Total FN 507
Total Scores
MCC 0.669
Average MCC ± 95% Confidence Intervals 0.687 ± 0.078
Sensitivity 0.534
Positive Predictive Value 0.841
Nr of predictions 18

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2. Individual counts for PETfold_pre2.0(seed) [ 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 1 0 0 1 2
3J20_0 0.84 0.70 1.00 21 2829 1 0 0 1 9
3J2C_N 0.60 0.45 0.80 205 428945 53 6 45 2 252
3J2L_3 0.77 0.62 0.94 33 7840 4 0 2 2 20
3J3D_C 0.82 0.71 0.95 20 2754 2 0 1 1 8
3J3E_7 0.78 0.67 0.92 36 7101 3 0 3 0 18
3J3E_8 0.43 0.30 0.63 10 7487 8 0 6 2 23
3J3F_8 0.63 0.53 0.76 19 12221 10 0 6 4 17
3J3F_7 0.85 0.74 0.97 37 7222 2 0 1 1 13
3ZEX_D 0.82 0.73 0.92 36 6982 3 0 3 0 13
3ZEX_C 0.53 0.37 0.76 19 14171 10 1 5 4 33
3ZND_W 0.47 0.43 0.53 10 2984 12 0 9 3 13
4A1C_2 0.57 0.45 0.71 15 11760 12 0 6 6 18
4A1C_3 0.83 0.70 0.97 38 7101 1 0 1 0 16
4AOB_A 0.72 0.57 0.92 24 4345 3 0 2 1 18
4ENB_A 0.50 0.42 0.62 8 1262 5 1 4 0 11
4ENC_A 0.50 0.42 0.62 8 1313 5 1 4 0 11
4FRG_B 0.74 0.63 0.87 20 3463 3 1 2 0 12

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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 397
Total TN 532787
Total FP 212
Total FP CONTRA 21
Total FP INCONS 170
Total FP COMP 21
Total FN 690
Total Scores
MCC 0.496
Average MCC ± 95% Confidence Intervals 0.473 ± 0.117
Sensitivity 0.365
Positive Predictive Value 0.675
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
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
3J2C_N 0.50 0.35 0.71 162 428973 67 5 61 1 295
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_D 0.76 0.65 0.89 32 6985 4 1 3 0 17
3ZEX_C 0.26 0.19 0.36 10 14168 18 2 16 0 42
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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Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.