Table 2.

Results of testing our predictors using the four benchmarks protocols of Abeel et al. (2009) and then comparing against 17 algorithms they evaluated.

Name1A1B2A2BPPP score
Our results using software of Abeel et al. (2009)
     RSVPo20.180.280.420.550.30
     RSVRfG0.180.280.410.560.30
     RSVEx0.180.280.410.560.30
Results in Abeel et al. (2009) with performance any RSV
     ARTS0.190.360.470.640.34
     ProSOM0.180.250.420.510.29
     EP30.180.230.420.510.28
     Eponine0.140.290.410.570.27
Name1A1B2A2BPPP score
Our results using software of Abeel et al. (2009)
     RSVPo20.180.280.420.550.30
     RSVRfG0.180.280.410.560.30
     RSVEx0.180.280.410.560.30
Results in Abeel et al. (2009) with performance any RSV
     ARTS0.190.360.470.640.34
     ProSOM0.180.250.420.510.29
     EP30.180.230.420.510.28
     Eponine0.140.290.410.570.27

We show the results for ProSOM (Abeel et al., 2008a), EP3 (Abeel et al., 2008b), Eponine (Down and Hubbard, 2002) and ARTS. The results are sorted according to the PPP score, which is the harmonic mean of the four individual scores giving an overall figure of merit. All results better than our ChIP-Seq developed model RSVPo2 are marked in bold face; apart from ARTS there are only the two such results, both with the Eponine algorithm. The results for the remaining 13 algorithms have worse performance than every RSV for tests 1A–2B and can be found in Table 2Abeel et al. (2009).

Table 2.

Results of testing our predictors using the four benchmarks protocols of Abeel et al. (2009) and then comparing against 17 algorithms they evaluated.

Name1A1B2A2BPPP score
Our results using software of Abeel et al. (2009)
     RSVPo20.180.280.420.550.30
     RSVRfG0.180.280.410.560.30
     RSVEx0.180.280.410.560.30
Results in Abeel et al. (2009) with performance any RSV
     ARTS0.190.360.470.640.34
     ProSOM0.180.250.420.510.29
     EP30.180.230.420.510.28
     Eponine0.140.290.410.570.27
Name1A1B2A2BPPP score
Our results using software of Abeel et al. (2009)
     RSVPo20.180.280.420.550.30
     RSVRfG0.180.280.410.560.30
     RSVEx0.180.280.410.560.30
Results in Abeel et al. (2009) with performance any RSV
     ARTS0.190.360.470.640.34
     ProSOM0.180.250.420.510.29
     EP30.180.230.420.510.28
     Eponine0.140.290.410.570.27

We show the results for ProSOM (Abeel et al., 2008a), EP3 (Abeel et al., 2008b), Eponine (Down and Hubbard, 2002) and ARTS. The results are sorted according to the PPP score, which is the harmonic mean of the four individual scores giving an overall figure of merit. All results better than our ChIP-Seq developed model RSVPo2 are marked in bold face; apart from ARTS there are only the two such results, both with the Eponine algorithm. The results for the remaining 13 algorithms have worse performance than every RSV for tests 1A–2B and can be found in Table 2Abeel et al. (2009).

Close
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close

This PDF is available to Subscribers Only

View Article Abstract & Purchase Options

For full access to this pdf, sign in to an existing account, or purchase an annual subscription.

Close