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Table 4 Sep(*, *) score comparison among R, R l , IC and MAP score

From: MISCORE: a new scoring function for characterizing DNA regulatory motifs in promoter sequences

Result details: Sep(*, *) ± E{std} on each dataset using 5000 random models

dg

TF

Sep (IC, R)

Sep (IC, R l )

Sep (MAP, R)

Sep (MAP, R l )

Sep (R, R l )

 

CREB

-0.099 ± 0.051

-0.080 ± 0.013

0.255 ± 0.030

0.268 ± 0.014

0.022 ± 0.047

 

SRF

-0.104 ± 0.036

-0.133 ± 0.008

0.313 ± 0.020

0.294 ± 0.009

-0.022 ± 0.034

 

TBP

-0.088 ± 0.025

0.056 ± 0.002

0.302 ± 0.014

0.395 ± 0.005

0.125 ± 0.020

 

MEF2

-0.405 ± 0.088

0.092 ± 0.020

0.144 ± 0.049

0.446 ± 0.017

0.358 ± 0.041

dg 1

MYOD

-0.113 ± 0.043

-0.022 ± 0.010

0.299 ± 0.025

0.356 ± 0.011

0.066 ± 0.037

 

ERE

0.060 ± 0.027

0.057 ± 0.011

0.416 ± 0.017

0.414 ± 0.012

-0.008 ± 0.028

 

E2F

-0.048 ± 0.032

0.064 ± 0.012

0.350 ± 0.018

0.419 ± 0.012

0.110 ± 0.027

 

CRP

0.013 ± 0.032

0.070 ± 0.018

0.486 ± 0.018

0.516 ± 0.013

0.052 ± 0.028

 

avg

-0.098 ± 0.042

0.013 ± 0.012

0.321 ± 0.024

0.388 ± 0.012

0.088 ± 0.033

 

dm01g

-0.080 ± 0.042

0.024 ± 0.027

0.294 ± 0.024

0.361 ± 0.023

0.101 ± 0.035

 

dm04m

-0.029 ± 0.038

0.026 ± 0.025

0.350 ± 0.022

0.384 ± 0.022

0.053 ± 0.033

 

hm02r

-0.187 ± 0.067

0.089 ± 0.029

0.320 ± 0.037

0.478 ± 0.024

0.219 ± 0.043

 

hm03r

-0.096 ± 0.045

0.076 ± 0.017

0.276 ± 0.026

0.389 ± 0.015

0.135 ± 0.037

 

hm06g

-0.145 ± 0.068

0.001 ± 0.031

0.227 ± 0.040

0.325 ± 0.025

0.139 ± 0.051

 

hm08m

-0.006 ± 0.048

0.082 ± 0.024

0.277 ± 0.030

0.340 ± 0.021

0.084 ± 0.041

 

hm09g

-0.120 ± 0.087

-0.009 ± 0.041

0.211 ± 0.053

0.288 ± 0.035

0.114 ± 0.075

 

hm10m

-0.070 ± 0.050

0.071 ± 0.027

0.290 ± 0.030

0.383 ± 0.022

0.134 ± 0.038

dg 2

hm11g

-0.172 ± 0.062

0.077 ± 0.016

0.224 ± 0.036

0.388 ± 0.016

0.168 ± 0.045

 

hm16g

-0.218 ± 0.100

0.000 ± 0.049

0.227 ± 0.056

0.364 ± 0.038

0.140 ± 0.077

 

hm17g

-0.076 ± 0.052

-0.022 ± 0.026

0.379 ± 0.029

0.409 ± 0.021

0.065 ± 0.045

 

hm20r

-0.344 ± 0.044

0.098 ± 0.002

0.234 ± 0.022

0.486 ± 0.006

0.322 ± 0.023

 

hm21g

-0.183 ± 0.062

-0.075 ± 0.036

0.293 ± 0.035

0.357 ± 0.027

0.064 ± 0.051

 

hm24m

-0.082 ± 0.052

0.024 ± 0.032

0.324 ± 0.031

0.390 ± 0.026

0.107 ± 0.042

 

hm26m

-0.114 ± 0.067

0.177 ± 0.034

0.377 ± 0.039

0.540 ± 0.028

0.265 ± 0.044

 

mus02r

-0.034 ± 0.110

-0.061 ± 0.058

0.409 ± 0.062

0.393 ± 0.046

0.004 ± 0.119

 

mus10g

-0.630 ± 0.134

-0.052 ± 0.020

0.001 ± 0.076

0.355 ± 0.019

0.350 ± 0.056

 

mus11m

-0.623 ± 0.098

-0.049 ± 0.021

0.050 ± 0.054

0.386 ± 0.019

0.340 ± 0.042

 

yst08r

-0.019 ± 0.050

0.149 ± 0.024

0.037 ± 0.040

0.196 ± 0.019

0.131 ± 0.045

 

yst09g

-0.253 ± 0.102

0.179 ± 0.036

-0.053 ± 0.073

0.310 ± 0.029

0.353 ± 0.056

 

avg

-0.174 ± 0.069

0.040 ± 0.029

0.237 ± 0.041

0.376 ± 0.024

0.164 ± 0.050

 

CREB

-0.102 ± 0.047

-0.056 ± 0.012

0.248 ± 0.028

0.280 ± 0.013

0.072 ± 0.042

 

SRF

-0.085 ± 0.029

-0.131 ± 0.007

0.324 ± 0.016

0.296 ± 0.008

-0.026 ± 0.028

dg 3

TBP

-0.080 ± 0.023

0.052 ± 0.002

0.307 ± 0.013

0.392 ± 0.005

0.129 ± 0.019

 

MEF2

-0.420 ± 0.092

0.122 ± 0.020

0.132 ± 0.051

0.463 ± 0.017

0.372 ± 0.042

 

MYOD

-0.115 ± 0.040

-0.017 ± 0.009

0.297 ± 0.023

0.358 ± 0.010

0.088 ± 0.034

 

avg

-0.160 ± 0.046

-0.006 ± 0.010

0.262 ± 0.026

0.358 ± 0.011

0.127 ± 0.033

Result summary: E{Sep(*, *)} ± E{std} on each data group

 

data group (dg)

Sep(IC, R)

Sep(IC, R l )

Sep(MAP, R)

Sep(MAP, R l )

Sep(R, R l )

 

dg 1

-0.098 ± 0.042

0.013 ± 0.012

0.321 ± 0.024

0.388 ± 0.012

0.088 ± 0.033

 

dg 2

-0.174 ± 0.069

0.040 ± 0.029

0.237 ± 0.041

0.376 ± 0.024

0.164 ± 0.050

 

dg 3

-0.160 ± 0.046

-0.006 ± 0.010

0.262 ± 0.026

0.358 ± 0.011

0.127 ± 0.033

 

avg

-0.144 ± 0.052

0.016 ± 0.017

0.273 ± 0.030

0.374 ± 0.015

0.126 ± 0.039

  1. Remark: Sep(*, *) score is computed on a dataset using 5000 random set of k-mers generated from the dataset. It can be seen that the localized version improves MISCORE in terms of separability performance, i.e., Sep(R, R l ) > 0 holds for most of the cases. Sep(*, *) score comparison among other metrics show that MISCORE is likely to produce favorable separability performance than IC and MAP score.