CompaRNA - on-line benchmarks of RNA structure prediction methods
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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of RNASLOpt - scored higher in this pairwise comparison

  4. Performance of NanoFolder - scored lower in this pairwise comparison

  5. Compile and download dataset for RNASLOpt & NanoFolder [.zip] - may take several seconds...


Overview

Metric RNASLOpt NanoFolder
MCC 0.558 > 0.406
Average MCC ± 95% Confidence Intervals 0.545 ± 0.183 > 0.450 ± 0.163
Sensitivity 0.564 > 0.516
Positive Predictive Value 0.562 > 0.333
Total TP 141 > 129
Total TN 20930 > 20794
Total FP 151 < 311
Total FP CONTRA 49 < 98
Total FP INCONS 61 < 160
Total FP COMP 41 < 53
Total FN 109 < 121
P-value 2.64318034126e-08

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Performance plots


  1. Comparison of performance of RNASLOpt and NanoFolder. 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 RNASLOpt and NanoFolder).

  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 RNASLOpt and NanoFolder).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASLOpt and NanoFolder. 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 RNASLOpt and NanoFolder).

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Performance of RNASLOpt - scored higher in this pairwise comparison

1. Total counts & total scores for RNASLOpt

Total Base Pair Counts
Total TP 141
Total TN 20930
Total FP 151
Total FP CONTRA 49
Total FP INCONS 61
Total FP COMP 41
Total FN 109
Total Scores
MCC 0.558
Average MCC ± 95% Confidence Intervals 0.545 ± 0.183
Sensitivity 0.564
Positive Predictive Value 0.562
Nr of predictions 13

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2. Individual counts for RNASLOpt [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.48 0.39 0.64 7 517 4 0 4 0 11
2M58_A - 0.37 0.33 0.44 4 535 5 4 1 0 8
3J3D_C 0.90 0.95 0.86 18 947 3 3 0 0 1
3J3E_8 -0.01 0.00 0.00 0 2724 30 6 12 12 15
3J3F_8 0.39 0.47 0.32 9 4733 38 10 9 19 10
3U4M_B - 0.49 0.55 0.46 12 1250 14 3 11 0 10
3W3S_B 0.90 0.85 0.97 28 1960 2 0 1 1 5
4A1C_2 0.30 0.40 0.24 8 4482 35 13 13 9 12
4AOB_A 0.31 0.28 0.38 8 1416 13 3 10 0 21
4ATO_G - 0.36 0.43 0.33 3 211 6 6 0 0 4
4ENC_A 0.73 0.60 0.90 9 486 1 1 0 0 6
4JF2_A 0.89 0.79 1.00 19 1063 0 0 0 0 5
4JRC_A - 0.97 0.94 1.00 16 606 0 0 0 0 1

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Performance of NanoFolder - scored lower in this pairwise comparison

1. Total counts & total scores for NanoFolder

Total Base Pair Counts
Total TP 129
Total TN 20794
Total FP 311
Total FP CONTRA 98
Total FP INCONS 160
Total FP COMP 53
Total FN 121
Total Scores
MCC 0.406
Average MCC ± 95% Confidence Intervals 0.450 ± 0.163
Sensitivity 0.516
Positive Predictive Value 0.333
Nr of predictions 13

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2. Individual counts for NanoFolder [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.54 0.61 0.50 11 506 11 1 10 0 7
2M58_A - 0.45 0.58 0.37 7 525 13 6 6 1 5
3J3D_C 0.76 0.95 0.62 18 939 11 9 2 0 1
3J3E_8 -0.01 0.00 0.00 0 2707 47 11 24 12 15
3J3F_8 0.30 0.47 0.19 9 4714 57 21 17 19 10
3U4M_B - 0.77 0.91 0.67 20 1246 12 6 4 2 2
3W3S_B 0.18 0.21 0.18 7 1949 34 2 31 1 26
4A1C_2 -0.01 0.00 0.00 0 4469 61 18 29 14 20
4AOB_A 0.39 0.41 0.39 12 1406 20 4 15 1 17
4ATO_G - 0.72 1.00 0.54 7 207 6 6 0 0 0
4ENC_A 0.66 0.73 0.61 11 478 9 2 5 2 4
4JF2_A 0.55 0.67 0.47 16 1048 19 9 9 1 8
4JRC_A - 0.56 0.65 0.50 11 600 11 3 8 0 6

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