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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(seed) - scored lower in this pairwise comparison

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


Overview

Metric PETfold_pre2.0(seed) RSpredict(seed)
MCC 0.688 > 0.416
Average MCC ± 95% Confidence Intervals 0.693 ± 0.060 > 0.125 ± 0.080
Sensitivity 0.566 > 0.264
Positive Predictive Value 0.838 > 0.659
Total TP 1105 > 515
Total TN 1673646 < 1674183
Total FP 253 < 275
Total FP CONTRA 24 > 18
Total FP INCONS 190 < 249
Total FP COMP 39 > 8
Total FN 847 < 1437
P-value 5.23657817852e-08

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Performance plots


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

  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(seed)).

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

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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 1105
Total TN 1673646
Total FP 253
Total FP CONTRA 24
Total FP INCONS 190
Total FP COMP 39
Total FN 847
Total Scores
MCC 0.688
Average MCC ± 95% Confidence Intervals 0.693 ± 0.060
Sensitivity 0.566
Positive Predictive Value 0.838
Nr of predictions 26

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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
2LC8_A 0.40 0.30 0.55 6 1529 5 0 5 0 14
3J16_L 0.82 0.70 0.95 21 2753 1 0 1 0 9
3J20_0 0.84 0.70 1.00 21 2829 1 0 0 1 9
3J20_1 0.96 0.91 1.00 21 2905 1 0 0 1 2
3J20_2 0.71 0.61 0.81 388 1116287 97 10 80 7 245
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_8 0.43 0.30 0.63 10 7487 8 0 6 2 23
3J3E_7 0.78 0.67 0.92 36 7101 3 0 3 0 18
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
3UZL_B 0.72 0.54 0.95 20 3549 2 1 0 1 17
3W1K_J 0.80 0.68 0.93 26 4158 3 1 1 1 12
3W3S_B 0.78 0.65 0.93 26 4725 4 0 2 2 14
3ZEX_C 0.53 0.37 0.76 19 14171 10 1 5 4 33
3ZEX_D 0.82 0.73 0.92 36 6982 3 0 3 0 13
3ZND_W 0.47 0.43 0.53 10 2984 12 0 9 3 13
4A1C_3 0.83 0.70 0.97 38 7101 1 0 1 0 16
4A1C_2 0.57 0.45 0.71 15 11760 12 0 6 6 18
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
4FRN_A 0.73 0.61 0.88 22 5126 3 2 1 0 14
4JF2_A 0.72 0.52 1.00 16 2834 0 0 0 0 15

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Performance of RSpredict(seed) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 515
Total TN 1674183
Total FP 275
Total FP CONTRA 18
Total FP INCONS 249
Total FP COMP 8
Total FN 1437
Total Scores
MCC 0.416
Average MCC ± 95% Confidence Intervals 0.125 ± 0.080
Sensitivity 0.264
Positive Predictive Value 0.659
Nr of predictions 26

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2. Individual counts for RSpredict(seed) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A -0.01 0.00 0.00 0 1527 13 0 13 0 20
3J16_L 0.00 0.00 0.00 0 2774 1 0 1 0 30
3J20_0 0.00 0.00 0.00 0 2846 4 0 4 0 30
3J20_1 0.09 0.04 0.20 1 2921 4 0 4 0 22
3J20_2 0.62 0.53 0.73 335 1116304 129 9 117 3 298
3J2C_N 0.48 0.31 0.76 140 429016 46 3 42 1 317
3J2L_3 0.00 0.00 0.00 0 7870 5 0 5 0 53
3J3D_C 0.00 0.00 0.00 0 2771 4 1 3 0 28
3J3E_8 0.00 0.00 0.00 0 7503 0 0 0 0 33
3J3E_7 0.00 0.00 0.00 0 7132 8 0 8 0 54
3J3F_8 0.14 0.06 0.33 2 12240 5 1 3 1 34
3J3F_7 0.00 0.00 0.00 0 7256 4 0 4 0 50
3UZL_B 0.00 0.00 0.00 0 3564 6 0 6 0 37
3W1K_J 0.51 0.29 0.92 11 4174 1 0 1 0 27
3W3S_B 0.41 0.30 0.57 12 4732 10 1 8 1 28
3ZEX_C 0.10 0.04 0.25 2 14188 6 1 5 0 50
3ZEX_D 0.00 0.00 0.00 0 7019 2 0 2 0 49
3ZND_W 0.00 0.00 0.00 0 3000 4 0 3 1 23
4A1C_3 0.00 0.00 0.00 0 7136 4 1 3 0 54
4A1C_2 0.00 0.00 0.00 0 11777 5 1 3 1 33
4AOB_A 0.35 0.14 0.86 6 4364 1 0 1 0 36
4ENB_A 0.30 0.16 0.60 3 1270 2 0 2 0 16
4ENC_A 0.30 0.16 0.60 3 1321 2 0 2 0 16
4FRG_B 0.00 0.00 0.00 0 3484 2 0 2 0 32
4FRN_A 0.00 0.00 0.00 0 5148 3 0 3 0 36
4JF2_A 0.00 0.00 0.00 0 2846 4 0 4 0 31

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