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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric CentroidAlifold(seed) RSpredict(seed)
MCC 0.781 > 0.498
Average MCC ± 95% Confidence Intervals 0.698 ± 0.077 > 0.253 ± 0.108
Sensitivity 0.672 > 0.359
Positive Predictive Value 0.908 > 0.693
Total TP 827 > 441
Total TN 522035 < 522310
Total FP 189 < 269
Total FP CONTRA 52 > 42
Total FP INCONS 32 < 153
Total FP COMP 105 > 74
Total FN 403 < 789
P-value 5.23657817852e-08

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Performance plots


  1. Comparison of performance of CentroidAlifold(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 CentroidAlifold(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 CentroidAlifold(seed) and RSpredict(seed)).

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

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Performance of CentroidAlifold(seed) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 827
Total TN 522035
Total FP 189
Total FP CONTRA 52
Total FP INCONS 32
Total FP COMP 105
Total FN 403
Total Scores
MCC 0.781
Average MCC ± 95% Confidence Intervals 0.698 ± 0.077
Sensitivity 0.672
Positive Predictive Value 0.908
Nr of predictions 30

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.00 0.00 0.00 0 528 0 0 0 0 18
2ZZN_D 0.52 0.27 1.00 6 978 0 0 0 0 16
3A2K_C 0.52 0.27 1.00 6 1102 0 0 0 0 16
3A3A_A 0.95 0.90 1.00 27 1473 0 0 0 0 3
3GX2_A 0.92 0.86 1.00 24 1425 1 0 0 1 4
3IVN_B 0.86 0.83 0.90 19 882 2 2 0 0 4
3IYQ_A 0.56 0.55 0.57 28 22391 30 19 2 9 23
3IZ4_A 0.58 0.43 0.77 41 25483 17 12 0 5 54
3J20_0 0.53 0.29 1.00 6 1213 0 0 0 0 15
3J20_2 0.88 0.85 0.92 349 421988 102 9 22 71 63
3J3D_C 0.56 0.32 1.00 6 962 0 0 0 0 13
3J3E_8 0.39 0.20 0.75 3 2738 1 1 0 0 12
3J3F_8 0.62 0.47 0.82 9 4750 4 2 0 2 10
3JYV_7 0.50 0.25 1.00 5 1106 1 0 0 1 15
3LA5_A 0.87 0.80 0.95 20 933 1 1 0 0 5
3NPB_A 0.79 0.65 0.96 24 2253 5 0 1 4 13
3O58_3 0.68 0.50 0.92 11 4752 2 1 0 1 11
3PDR_A 0.93 0.88 0.98 44 4795 3 0 1 2 6
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.85 0.76 0.96 22 1510 1 0 1 0 7
3W1K_J 0.86 0.81 0.93 25 1651 2 1 1 0 6
3W3S_B 0.80 0.70 0.92 23 1964 4 0 2 2 10
3ZEX_C 0.56 0.34 0.91 10 5363 3 1 0 2 19
4A1C_2 0.60 0.40 0.89 8 4507 3 1 0 2 12
4AOB_A 0.89 0.79 1.00 23 1414 2 0 0 2 6
4ENB_A 0.72 0.53 1.00 8 464 0 0 0 0 7
4ENC_A 0.73 0.53 1.00 8 488 0 0 0 0 7
4FRG_B 0.81 0.71 0.94 17 1184 2 0 1 1 7
4FRN_A 0.80 0.71 0.91 20 1826 2 1 1 0 8
4JF2_A 0.76 0.63 0.94 15 1066 1 1 0 0 9

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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 441
Total TN 522310
Total FP 269
Total FP CONTRA 42
Total FP INCONS 153
Total FP COMP 74
Total FN 789
Total Scores
MCC 0.498
Average MCC ± 95% Confidence Intervals 0.253 ± 0.108
Sensitivity 0.359
Positive Predictive Value 0.693
Nr of predictions 30

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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 -0.03 0.00 0.00 0 515 13 0 13 0 18
2ZZN_D 0.38 0.18 0.80 4 979 1 1 0 0 18
3A2K_C -0.01 0.00 0.00 0 1106 2 0 2 0 22
3A3A_A 0.53 0.37 0.79 11 1486 3 0 3 0 19
3GX2_A 0.42 0.21 0.86 6 1442 1 0 1 0 22
3IVN_B 0.81 0.70 0.94 16 886 1 1 0 0 7
3IYQ_A 0.16 0.10 0.26 5 22421 21 10 4 7 46
3IZ4_A 0.26 0.11 0.63 10 25520 7 2 4 1 85
3J20_0 -0.01 0.00 0.00 0 1215 4 0 4 0 21
3J20_2 0.77 0.76 0.78 312 421966 152 18 72 62 100
3J3D_C -0.01 0.00 0.00 0 964 4 1 3 0 19
3J3E_8 0.00 0.00 0.00 0 2742 0 0 0 0 15
3J3F_8 0.19 0.11 0.33 2 4755 5 3 1 1 17
3JYV_7 -0.01 0.00 0.00 0 1108 4 0 3 1 20
3LA5_A 0.82 0.68 1.00 17 937 0 0 0 0 8
3NPB_A -0.01 0.00 0.00 0 2274 4 0 4 0 37
3O58_3 0.28 0.14 0.60 3 4759 2 0 2 0 19
3PDR_A 0.00 0.00 0.00 0 4832 8 0 8 0 50
3RKF_A 0.84 0.75 0.95 18 847 1 1 0 0 6
3SD1_A 0.00 0.00 0.00 0 1533 0 0 0 0 29
3W1K_J 0.57 0.35 0.92 11 1666 1 0 1 0 20
3W3S_B 0.45 0.36 0.57 12 1968 10 1 8 1 21
3ZEX_C 0.13 0.07 0.25 2 5366 6 2 4 0 27
4A1C_2 0.00 0.00 0.00 0 4512 5 2 2 1 20
4AOB_A 0.42 0.21 0.86 6 1430 1 0 1 0 23
4ENB_A 0.34 0.20 0.60 3 467 2 0 2 0 12
4ENC_A 0.34 0.20 0.60 3 491 2 0 2 0 12
4FRG_B -0.01 0.00 0.00 0 1200 2 0 2 0 24
4FRN_A 0.00 0.00 0.00 0 1845 3 0 3 0 28
4JF2_A -0.01 0.00 0.00 0 1078 4 0 4 0 24

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