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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric MXScarna(20) RSpredict(seed)
MCC 0.634 > 0.249
Average MCC ± 95% Confidence Intervals 0.641 ± 0.072 > 0.217 ± 0.109
Sensitivity 0.530 > 0.110
Positive Predictive Value 0.761 > 0.569
Total TP 535 > 111
Total TN 202022 < 202530
Total FP 250 > 88
Total FP CONTRA 30 > 6
Total FP INCONS 138 > 78
Total FP COMP 82 > 4
Total FN 474 < 898
P-value 5.23657817852e-08

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 535
Total TN 202022
Total FP 250
Total FP CONTRA 30
Total FP INCONS 138
Total FP COMP 82
Total FN 474
Total Scores
MCC 0.634
Average MCC ± 95% Confidence Intervals 0.641 ± 0.072
Sensitivity 0.530
Positive Predictive Value 0.761
Nr of predictions 27

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2. Individual counts for MXScarna(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.95 0.91 1.00 10 396 0 0 0 0 1
2L94_A 0.73 0.70 0.78 14 972 4 0 4 0 6
2WRQ_Y 0.57 0.59 0.56 10 2832 13 5 3 5 7
2XKV_B 0.45 0.20 1.00 4 4556 3 0 0 3 16
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
2XXA_G 0.80 0.71 0.91 30 5118 4 0 3 1 12
3A2K_C 0.66 0.57 0.76 16 2905 6 1 4 1 12
3AMU_B 0.86 0.74 1.00 20 2983 2 0 0 2 7
3GX2_A 0.70 0.58 0.85 23 4344 5 0 4 1 17
3IVN_B 0.74 0.58 0.95 18 2327 1 1 0 0 13
3IZ4_A 0.51 0.41 0.64 54 70791 32 7 24 1 78
3IZF_C 0.67 0.59 0.76 32 6861 11 1 9 1 22
3JYV_7 0.79 0.63 1.00 20 2830 0 0 0 0 12
3JYX_3 0.55 0.52 0.58 14 6304 23 0 10 13 13
3JYX_4 0.33 0.30 0.37 10 12219 32 2 15 15 23
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.69 0.59 0.82 27 6988 9 1 5 3 19
3O58_2 0.74 0.74 0.74 28 7222 13 4 6 3 10
3O58_3 0.52 0.40 0.67 14 12382 17 2 5 10 21
3PDR_A 0.71 0.57 0.89 41 12834 9 0 5 4 31
3RKF_A 0.72 0.53 1.00 18 2193 0 0 0 0 16
3SD1_A 0.63 0.55 0.74 23 3885 8 2 6 0 19
4A1C_2 0.18 0.15 0.21 5 11757 36 2 17 17 28
4A1C_3 0.64 0.56 0.75 30 7100 11 2 8 1 24
4AOB_A 0.62 0.55 0.72 23 4339 10 0 9 1 19
4ENB_A 0.26 0.11 0.67 2 1272 1 0 1 0 17
4ENC_A 0.60 0.37 1.00 7 1319 0 0 0 0 12

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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 111
Total TN 202530
Total FP 88
Total FP CONTRA 6
Total FP INCONS 78
Total FP COMP 4
Total FN 898
Total Scores
MCC 0.249
Average MCC ± 95% Confidence Intervals 0.217 ± 0.109
Sensitivity 0.110
Positive Predictive Value 0.569
Nr of predictions 27

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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
3JYV_7 0.00 0.00 0.00 0 2846 4 0 4 0 32
3JYX_3 0.00 0.00 0.00 0 6323 5 1 4 0 27
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_2 0.00 0.00 0.00 0 7257 3 0 3 0 38
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
4A1C_2 0.00 0.00 0.00 0 11777 5 1 3 1 33
4A1C_3 0.00 0.00 0.00 0 7136 4 1 3 0 54
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

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