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 MCFold - scored lower in this pairwise comparison

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


Overview

Metric RNASLOpt MCFold
MCC 0.415 > 0.358
Average MCC ± 95% Confidence Intervals 0.388 ± 0.100 > 0.342 ± 0.093
Sensitivity 0.334 < 0.366
Positive Predictive Value 0.522 > 0.357
Total TP 340 < 373
Total TN 159301 > 158907
Total FP 361 < 769
Total FP CONTRA 32 < 88
Total FP INCONS 279 < 584
Total FP COMP 50 < 97
Total FN 678 > 645
P-value 3.56938820447e-08

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Performance plots


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

  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 MCFold).

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

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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 340
Total TN 159301
Total FP 361
Total FP CONTRA 32
Total FP INCONS 279
Total FP COMP 50
Total FN 678
Total Scores
MCC 0.415
Average MCC ± 95% Confidence Intervals 0.388 ± 0.100
Sensitivity 0.334
Positive Predictive Value 0.522
Nr of predictions 32

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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 0.47 0.35 0.64 7 1529 4 0 4 0 13
2LKR_A - 0.68 0.62 0.75 24 6073 9 0 8 1 15
2M58_A - 0.32 0.24 0.44 4 1644 5 1 4 0 13
3J0L_g - -0.01 0.00 0.00 0 461 4 1 3 0 4
3J0L_2 - 0.39 0.36 0.43 12 6188 18 2 14 2 21
3J0L_a - 0.26 0.19 0.38 3 1120 5 1 4 0 13
3J0L_7 - -0.01 0.00 0.00 0 1212 13 0 13 0 17
3J16_L 0.53 0.40 0.71 12 2758 5 0 5 0 18
3J20_0 0.66 0.57 0.77 17 2828 6 1 4 1 13
3J2L_3 0.56 0.43 0.72 23 7843 11 0 9 2 30
3J3D_C 0.82 0.71 0.95 20 2754 1 0 1 0 8
3J3E_7 0.48 0.35 0.66 19 7111 10 0 10 0 35
3J3E_8 0.00 0.00 0.00 0 7483 30 1 19 10 33
3J3F_8 0.34 0.33 0.35 12 12212 35 3 19 13 24
3J3F_7 0.18 0.16 0.22 8 7224 28 1 27 0 42
3U4M_B - 0.38 0.32 0.46 12 3134 14 0 14 0 25
3ZEX_C 0.26 0.21 0.33 11 14163 35 2 20 13 41
3ZEX_H - 0.19 0.18 0.21 7 9012 26 4 22 0 31
3ZEX_D 0.76 0.59 0.97 29 6991 1 0 1 0 20
3ZEX_G - 0.00 0.00 0.00 0 16471 0 0 0 0 74
3ZEX_F - 0.00 0.00 0.00 0 2628 0 0 0 0 12
3ZND_W 0.21 0.22 0.22 5 2980 20 1 17 2 18
4A1C_3 0.67 0.52 0.88 28 7108 4 0 4 0 26
4A1C_2 0.23 0.24 0.22 8 11744 35 8 21 6 25
4ATO_G - 0.30 0.30 0.33 3 519 6 2 4 0 7
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.65 0.47 0.90 9 1316 1 1 0 0 10
4FNJ_A - -0.02 0.00 0.00 0 584 11 0 11 0 16
4FRG_B 0.56 0.47 0.68 15 3464 7 1 6 0 17
4FRN_A 0.20 0.17 0.26 6 5128 17 2 15 0 30
4JF2_A 0.78 0.61 1.00 19 2831 0 0 0 0 12
4JRC_A - 0.83 0.70 1.00 16 1524 0 0 0 0 7

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Performance of MCFold - scored lower in this pairwise comparison

1. Total counts & total scores for MCFold

Total Base Pair Counts
Total TP 373
Total TN 158907
Total FP 769
Total FP CONTRA 88
Total FP INCONS 584
Total FP COMP 97
Total FN 645
Total Scores
MCC 0.358
Average MCC ± 95% Confidence Intervals 0.342 ± 0.093
Sensitivity 0.366
Positive Predictive Value 0.357
Nr of predictions 32

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.41 0.45 0.39 9 1517 16 0 14 2 11
2LKR_A - 0.93 0.92 0.95 36 6067 14 0 2 12 3
2M58_A - 0.20 0.24 0.18 4 1631 19 2 16 1 13
3J0L_g - 0.13 0.25 0.08 1 452 12 8 4 0 3
3J0L_2 - 0.21 0.24 0.18 8 6172 39 7 29 3 25
3J0L_a - 0.16 0.19 0.17 3 1110 15 1 14 0 13
3J0L_7 - -0.01 0.00 0.00 0 1206 19 4 15 0 17
3J16_L 0.45 0.47 0.44 14 2743 19 1 17 1 16
3J20_0 0.59 0.57 0.63 17 2823 12 1 9 2 13
3J2L_3 0.58 0.57 0.60 30 7825 23 2 18 3 23
3J3D_C 0.42 0.43 0.43 12 2747 18 2 14 2 16
3J3E_7 0.40 0.39 0.42 21 7090 29 3 26 0 33
3J3E_8 0.12 0.12 0.12 4 7470 46 3 26 17 29
3J3F_8 0.13 0.17 0.11 6 12191 61 9 40 12 30
3J3F_7 0.74 0.74 0.74 37 7210 17 2 11 4 13
3U4M_B - 0.59 0.59 0.59 22 3123 15 0 15 0 15
3ZEX_C 0.24 0.21 0.28 11 14156 29 3 26 0 41
3ZEX_H - 0.14 0.18 0.12 7 8987 52 14 37 1 31
3ZEX_D 0.17 0.18 0.18 9 6970 42 4 38 0 40
3ZEX_G - 0.00 0.00 0.00 0 16456 15 1 14 0 74
3ZEX_F - -0.01 0.00 0.00 0 2610 29 4 14 11 12
3ZND_W 0.19 0.22 0.18 5 2975 26 1 22 3 18
4A1C_3 0.68 0.67 0.71 36 7089 17 1 14 2 18
4A1C_2 0.13 0.15 0.11 5 11735 56 10 31 15 28
4ATO_G - 0.30 0.30 0.33 3 519 8 0 6 2 7
4ENB_A 0.61 0.63 0.60 12 1255 8 2 6 0 7
4ENC_A 0.28 0.32 0.27 6 1304 17 2 14 1 13
4FNJ_A - 0.83 0.81 0.87 13 580 3 0 2 1 3
4FRG_B 0.32 0.34 0.31 11 3450 25 0 25 0 21
4FRN_A 0.12 0.14 0.12 5 5110 38 1 35 2 31
4JF2_A 0.66 0.68 0.66 21 2818 11 0 11 0 10
4JRC_A - 0.20 0.22 0.21 5 1516 19 0 19 0 18

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