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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric MXScarna(seed) Murlet(seed)
MCC 0.614 > 0.584
Average MCC ± 95% Confidence Intervals 0.452 ± 0.138 < 0.476 ± 0.098
Sensitivity 0.576 > 0.492
Positive Predictive Value 0.656 < 0.694
Total TP 414 > 354
Total TN 1014988 < 1015109
Total FP 271 > 180
Total FP CONTRA 33 > 6
Total FP INCONS 184 > 150
Total FP COMP 54 > 24
Total FN 305 < 365
P-value 2.10387130242e-07

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Performance plots


  1. Comparison of performance of MXScarna(seed) and Murlet(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(seed) and Murlet(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(seed) and Murlet(seed)).

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

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

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

Total Base Pair Counts
Total TP 414
Total TN 1014988
Total FP 271
Total FP CONTRA 33
Total FP INCONS 184
Total FP COMP 54
Total FN 305
Total Scores
MCC 0.614
Average MCC ± 95% Confidence Intervals 0.452 ± 0.138
Sensitivity 0.576
Positive Predictive Value 0.656
Nr of predictions 14

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
CRW_01343 0.73 0.68 0.78 294 977526 128 10 71 47 140
PDB_00005 0.59 0.36 1.00 5 941 0 0 0 0 9
PDB_00716 -0.01 0.00 0.00 0 2681 21 1 19 1 23
PDB_01092 0.70 0.63 0.79 33 10111 12 2 7 3 19
RFA_00632 0.25 0.25 0.27 7 4069 19 1 18 0 21
RFA_00636 0.35 0.36 0.36 10 3977 18 2 16 0 18
RFA_00767 0.59 0.56 0.63 10 1875 6 2 4 0 8
RFA_00768 0.59 0.56 0.63 10 1875 6 2 4 0 8
RFA_00769 0.55 0.56 0.56 10 1935 8 3 5 0 8
RFA_00770 0.57 0.56 0.59 10 1999 7 2 5 0 8
RFA_00773 0.55 0.56 0.56 10 1935 8 3 5 0 8
RFA_00779 0.57 0.56 0.59 10 1936 7 2 5 0 8
RFA_00808 -0.01 0.00 0.00 0 2000 19 2 14 3 16
RFA_00809 0.30 0.31 0.29 5 2128 12 1 11 0 11

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Performance of Murlet(seed) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 354
Total TN 1015109
Total FP 180
Total FP CONTRA 6
Total FP INCONS 150
Total FP COMP 24
Total FN 365
Total Scores
MCC 0.584
Average MCC ± 95% Confidence Intervals 0.476 ± 0.098
Sensitivity 0.492
Positive Predictive Value 0.694
Nr of predictions 14

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
CRW_01343 0.64 0.61 0.68 263 977515 145 6 117 22 171
PDB_00005 0.53 0.29 1.00 4 942 2 0 0 2 10
PDB_00716 0.23 0.13 0.43 3 2694 4 0 4 0 20
PDB_01092 0.69 0.48 1.00 25 10128 0 0 0 0 27
RFA_00632 0.21 0.11 0.43 3 4088 4 0 4 0 25
RFA_00636 0.21 0.11 0.43 3 3998 4 0 4 0 25
RFA_00767 0.47 0.33 0.67 6 1882 3 0 3 0 12
RFA_00768 0.41 0.28 0.63 5 1883 3 0 3 0 13
RFA_00769 0.57 0.44 0.73 8 1942 3 0 3 0 10
RFA_00770 0.57 0.44 0.73 8 2005 3 0 3 0 10
RFA_00773 0.41 0.28 0.63 5 1945 3 0 3 0 13
RFA_00779 0.47 0.33 0.67 6 1944 3 0 3 0 12
RFA_00808 0.75 0.56 1.00 9 2007 0 0 0 0 7
RFA_00809 0.50 0.38 0.67 6 2136 3 0 3 0 10

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