PFRMAT SS
TARGET T0120-116-210
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 T0120-116-210.remoter-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 13.0256
METHOD
MODEL 1
V C 0.486
E C 0.623
N C 0.601
P C 0.495
A H 0.624
E H 0.653
V H 0.683
I H 0.743
R H 0.790
E H 0.833
L H 0.845
I H 0.769
C H 0.556
Y C 0.522
C C 0.745
L H 0.580
D H 0.704
T H 0.730
I H 0.610
A H 0.598
E H 0.686
N H 0.651
Q H 0.495
A C 0.779
K C 0.689
N C 0.728
E H 0.653
H H 0.790
L H 0.895
Q H 0.915
K H 0.938
E H 0.936
N H 0.929
E H 0.923
R H 0.897
L H 0.847
L H 0.859
R H 0.779
D H 0.659
W H 0.869
N H 0.899
D H 0.921
V H 0.908
Q H 0.912
G H 0.948
R H 0.959
F H 0.980
E H 0.989
K H 0.988
C H 0.979
V H 0.962
S H 0.933
A H 0.929
K H 0.893
E H 0.909
A H 0.902
L H 0.908
E H 0.905
T H 0.941
D H 0.973
L H 0.982
Y H 0.992
K H 0.997
R H 0.997
F H 0.995
I H 0.992
L H 0.992
V H 0.990
L H 0.964
N H 0.872
E H 0.926
K H 0.897
K H 0.909
T H 0.899
K H 0.921
I H 0.947
R H 0.966
S H 0.958
L H 0.946
H H 0.928
N H 0.923
K H 0.901
L H 0.842
L H 0.818
N H 0.815
A H 0.806
A H 0.729
Q H 0.761
E H 0.720
R H 0.699
E H 0.630
K H 0.545
D C 0.601
I C 0.800
K C 0.958
END