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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of RSpredict(20) - scored higher in this pairwise comparison

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

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


Overview

Metric RSpredict(20) RSpredict(seed)
MCC 0.535 > 0.280
Average MCC ± 95% Confidence Intervals 0.531 ± 0.079 > 0.166 ± 0.079
Sensitivity 0.408 > 0.133
Positive Predictive Value 0.703 > 0.594
Total TP 787 > 256
Total TN 709088 < 709776
Total FP 381 > 182
Total FP CONTRA 57 > 12
Total FP INCONS 275 > 163
Total FP COMP 49 > 7
Total FN 1142 < 1673
P-value 3.56938820447e-08

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Performance plots


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

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

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Performance of RSpredict(20) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 787
Total TN 709088
Total FP 381
Total FP CONTRA 57
Total FP INCONS 275
Total FP COMP 49
Total FN 1142
Total Scores
MCC 0.535
Average MCC ± 95% Confidence Intervals 0.531 ± 0.079
Sensitivity 0.408
Positive Predictive Value 0.703
Nr of predictions 40

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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
2KDQ_B 0.85 0.73 1.00 8 398 0 0 0 0 3
2L94_A 0.55 0.50 0.63 10 974 6 0 6 0 10
2WRQ_Y 0.57 0.59 0.56 10 2832 11 5 3 3 7
2XKV_B 0.00 0.00 0.00 0 4556 4 0 4 0 20
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
2XXA_G 0.46 0.21 1.00 9 5142 0 0 0 0 33
3A2K_C 0.78 0.68 0.90 19 2905 2 0 2 0 9
3AMU_B 0.61 0.41 0.92 11 2991 1 0 1 0 16
3GX2_A 0.33 0.15 0.75 6 4363 2 0 2 0 34
3IVN_B 0.78 0.65 0.95 20 2325 1 0 1 0 11
3IZ4_A 0.53 0.43 0.65 57 70788 35 8 23 4 75
3IZF_C 0.75 0.61 0.92 33 6867 3 1 2 0 21
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_7 0.79 0.68 0.92 34 7223 3 0 3 0 16
3J3F_8 0.39 0.33 0.46 12 12220 23 2 12 9 24
3JYV_7 0.77 0.63 0.95 20 2829 1 0 1 0 12
3JYX_4 0.28 0.27 0.30 9 12216 33 5 16 12 24
3JYX_3 0.61 0.56 0.68 15 6306 13 0 7 6 12
3LA5_A 0.76 0.59 1.00 20 2465 0 0 0 0 14
3NPB_A 0.00 0.00 0.00 0 7015 6 1 5 0 46
3O58_3 0.32 0.34 0.30 12 12363 28 12 16 0 23
3O58_2 0.76 0.76 0.76 29 7222 10 3 6 1 9
3PDR_A 0.67 0.49 0.92 35 12842 5 0 3 2 37
3RKF_A 0.77 0.62 0.95 21 2189 1 0 1 0 13
3SD1_A 0.68 0.60 0.78 25 3884 7 1 6 0 17
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_3 0.48 0.33 0.69 18 7114 8 0 8 0 36
4A1C_2 0.19 0.18 0.20 6 11751 30 6 18 6 27
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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Performance of RSpredict(seed) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 256
Total TN 709776
Total FP 182
Total FP CONTRA 12
Total FP INCONS 163
Total FP COMP 7
Total FN 1673
Total Scores
MCC 0.280
Average MCC ± 95% Confidence Intervals 0.166 ± 0.079
Sensitivity 0.133
Positive Predictive Value 0.594
Nr of predictions 40

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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
2L94_A 0.57 0.50 0.67 10 975 5 0 5 0 10
2WRQ_Y 0.00 0.00 0.00 0 2848 3 1 1 1 17
2XKV_B 0.28 0.20 0.40 4 4550 8 2 4 2 16
2XQD_Y 0.00 0.00 0.00 0 2845 5 0 5 0 27
2XXA_G 0.34 0.17 0.70 7 5141 3 0 3 0 35
3A2K_C 0.00 0.00 0.00 0 2924 2 0 2 0 28
3AMU_B 0.00 0.00 0.00 0 3001 2 0 2 0 27
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
3IZ4_A 0.21 0.08 0.59 10 70859 7 0 7 0 122
3IZF_C 0.00 0.00 0.00 0 6898 5 0 5 0 54
3J20_1 0.09 0.04 0.20 1 2921 4 0 4 0 22
3J20_0 0.00 0.00 0.00 0 2846 4 0 4 0 30
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_7 0.00 0.00 0.00 0 7132 8 0 8 0 54
3J3E_8 0.00 0.00 0.00 0 7503 0 0 0 0 33
3J3F_7 0.00 0.00 0.00 0 7256 4 0 4 0 50
3J3F_8 0.14 0.06 0.33 2 12240 5 1 3 1 34
3JYV_7 0.00 0.00 0.00 0 2846 4 0 4 0 32
3JYX_4 0.00 0.00 0.00 0 12241 5 0 5 0 33
3JYX_3 0.00 0.00 0.00 0 6323 5 1 4 0 27
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
3O58_2 0.00 0.00 0.00 0 7257 3 0 3 0 38
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
3ZEX_D 0.00 0.00 0.00 0 7019 2 0 2 0 49
3ZEX_C 0.10 0.04 0.25 2 14188 6 1 5 0 50
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

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