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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNAalifold(seed) RSpredict(seed)
MCC 0.606 > 0.428
Average MCC ± 95% Confidence Intervals 0.527 ± 0.084 > 0.253 ± 0.106
Sensitivity 0.427 > 0.273
Positive Predictive Value 0.861 > 0.673
Total TP 735 > 470
Total TN 1386978 < 1387134
Total FP 136 < 235
Total FP CONTRA 18 = 18
Total FP INCONS 101 < 210
Total FP COMP 17 > 7
Total FN 988 < 1253
P-value 5.23657817852e-08

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 735
Total TN 1386978
Total FP 136
Total FP CONTRA 18
Total FP INCONS 101
Total FP COMP 17
Total FN 988
Total Scores
MCC 0.606
Average MCC ± 95% Confidence Intervals 0.527 ± 0.084
Sensitivity 0.427
Positive Predictive Value 0.861
Nr of predictions 28

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.52 0.27 1.00 3 403 0 0 0 0 8
2KX8_A 0.00 0.00 0.00 0 861 0 0 0 0 18
2LC8_A -0.01 0.00 0.00 0 1528 12 0 12 0 20
3A3A_A 0.71 0.51 1.00 19 3636 0 0 0 0 18
3GX2_A 0.74 0.55 1.00 22 4349 1 0 0 1 18
3IVN_B 0.61 0.48 0.79 15 2327 4 2 2 0 16
3IYQ_A 0.38 0.21 0.69 20 60697 13 5 4 4 74
3IZ4_A 0.42 0.21 0.85 28 70843 5 1 4 0 104
3J20_2 0.69 0.58 0.83 367 1116322 80 5 71 4 266
3J3E_8 0.00 0.00 0.00 0 7503 0 0 0 0 33
3J3F_8 0.50 0.25 1.00 9 12237 0 0 0 0 27
3JYX_4 0.46 0.21 1.00 7 12239 2 0 0 2 26
3LA5_A 0.63 0.47 0.84 16 2466 3 1 2 0 18
3NPB_A 0.66 0.48 0.92 22 6997 3 1 1 1 24
3O58_3 0.51 0.26 1.00 9 12394 0 0 0 0 26
3PDR_A 0.68 0.46 1.00 33 12847 1 0 0 1 39
3RKF_A 0.63 0.47 0.84 16 2192 3 1 2 0 18
3SD1_A 0.58 0.40 0.85 17 3896 3 1 2 0 25
3W1K_J 0.71 0.50 1.00 19 4167 0 0 0 0 19
3W3S_B 0.67 0.45 1.00 18 4735 1 0 0 1 22
3ZEX_C 0.42 0.17 1.00 9 14187 0 0 0 0 43
4A1C_2 0.39 0.15 1.00 5 11776 2 0 0 2 28
4AOB_A 0.72 0.52 1.00 22 4349 1 0 0 1 20
4ENB_A 0.56 0.32 1.00 6 1269 0 0 0 0 13
4ENC_A 0.56 0.32 1.00 6 1320 0 0 0 0 13
4FRG_B 0.73 0.53 1.00 17 3469 0 0 0 0 15
4FRN_A 0.69 0.53 0.90 19 5130 2 1 1 0 17
4JF2_A 0.59 0.35 1.00 11 2839 0 0 0 0 20

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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 470
Total TN 1387134
Total FP 235
Total FP CONTRA 18
Total FP INCONS 210
Total FP COMP 7
Total FN 1253
Total Scores
MCC 0.428
Average MCC ± 95% Confidence Intervals 0.253 ± 0.106
Sensitivity 0.273
Positive Predictive Value 0.673
Nr of predictions 28

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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
2KDQ_B 0.85 0.73 1.00 8 398 0 0 0 0 3
2KX8_A 0.00 0.00 0.00 0 860 1 0 1 0 18
2LC8_A -0.01 0.00 0.00 0 1527 13 0 13 0 20
3A3A_A 0.48 0.30 0.79 11 3641 3 0 3 0 26
3GX2_A 0.36 0.15 0.86 6 4364 1 0 1 0 34
3IVN_B 0.69 0.52 0.94 16 2329 1 0 1 0 15
3IYQ_A 0.14 0.07 0.28 7 60701 19 5 13 1 87
3IZ4_A 0.21 0.08 0.59 10 70859 7 0 7 0 122
3J20_2 0.62 0.53 0.73 335 1116304 129 9 117 3 298
3J3E_8 0.00 0.00 0.00 0 7503 0 0 0 0 33
3J3F_8 0.14 0.06 0.33 2 12240 5 1 3 1 34
3JYX_4 0.00 0.00 0.00 0 12241 5 0 5 0 33
3LA5_A 0.70 0.50 1.00 17 2468 0 0 0 0 17
3NPB_A 0.00 0.00 0.00 0 7017 4 0 4 0 46
3O58_3 0.23 0.09 0.60 3 12398 2 0 2 0 32
3PDR_A 0.00 0.00 0.00 0 12872 8 0 8 0 72
3RKF_A 0.71 0.53 0.95 18 2192 1 0 1 0 16
3SD1_A 0.00 0.00 0.00 0 3916 0 0 0 0 42
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
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.