PFRMAT SS
TARGET T0119-1-100
AUTHOR 3670-4530-6947
METHOD Using neural net overrep-2500-IDaa13-5-10-7-10-5-10-11-ehl2-seeded9-stride-trained.net
METHOD This is a 4-layer network, with 
METHOD	window	units
METHOD	    5	   10
METHOD	    7	   10
METHOD	    5	   10
METHOD	   11	    3 (1 EHL2 )
METHOD The input amino acid frequencies were determined from
METHOD alignment T0119-1-100.t2k.a2m.gz
METHOD with weighted counts, using EntropyWeight(1.4 bits/column, 10)
METHOD The weighting was determined by the posterior distribution
METHOD after regularizing with /projects/compbio/lib/recode3.20comp.
METHOD Counts were regularized to probabilities using
METHOD /projects/compbio/lib/recode3.20comp
METHOD Total sequence weight for alignment was 170.611
METHOD
MODEL 1
M E 0.575
S E 0.679
N E 0.752
H E 0.724
Q E 0.780
V E 0.839
A E 0.894
L E 0.938
Q E 0.956
F E 0.926
E E 0.815
D C 0.580
G C 0.903
V C 0.931
T C 0.720
R E 0.800
F E 0.953
I E 0.988
C E 0.977
I E 0.872
A C 0.714
Q C 0.948
G C 0.858
E C 0.529
T C 0.382
L H 0.953
S H 0.966
D H 0.983
A H 0.970
A H 0.974
Y H 0.966
R H 0.942
Q H 0.801
Q C 0.968
I C 0.957
N C 0.847
I C 0.551
P C 0.578
M C 0.551
D C 0.537
C C 0.646
R C 0.786
E C 0.784
G C 0.799
E C 0.622
C C 0.563
G E 0.574
T E 0.673
C E 0.736
R E 0.877
A E 0.946
F E 0.964
C E 0.924
E E 0.741
S E 0.498
G C 0.665
N C 0.559
Y C 0.502
D C 0.604
M C 0.698
P C 0.806
E C 0.766
D C 0.716
N C 0.683
Y C 0.661
I H 0.545
E H 0.590
D H 0.511
A C 0.682
L C 0.851
T C 0.950
P H 0.874
E H 0.863
E H 0.877
A H 0.749
Q H 0.649
Q C 0.623
G C 0.975
Y C 0.688
V E 0.765
L E 0.946
A E 0.969
C E 0.925
Q E 0.920
C E 0.892
R E 0.866
P E 0.731
T C 0.603
S C 0.763
D C 0.744
A E 0.830
V E 0.968
F E 0.988
Q E 0.982
I E 0.867
Q C 0.563
A C 0.886
S C 0.891
S C 0.874
E C 0.972
END