PFRMAT SS
TARGET T0114
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 T0114.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 1.86607
METHOD
MODEL 1
M C 0.680
I C 0.669
N C 0.791
R C 0.601
T C 0.554
D C 0.577
C C 0.757
N C 0.796
E C 0.763
N C 0.743
S C 0.524
Y E 0.629
L E 0.766
E E 0.849
I E 0.769
H E 0.520
N C 0.768
N C 0.764
E C 0.825
G C 0.947
R C 0.784
D C 0.740
T E 0.528
L E 0.771
C E 0.770
F E 0.681
A C 0.504
N C 0.648
A C 0.798
G C 0.879
T C 0.737
M C 0.575
P E 0.637
V E 0.866
A E 0.903
I E 0.930
Y E 0.823
G E 0.552
V E 0.557
N E 0.647
W E 0.715
V E 0.624
E E 0.536
S C 0.663
G C 0.879
N C 0.885
N C 0.651
V E 0.781
V E 0.887
T E 0.919
L E 0.882
Q E 0.802
F E 0.709
Q E 0.406
R C 0.513
N C 0.739
L C 0.775
S C 0.807
D C 0.895
P C 0.810
R C 0.758
L C 0.633
E C 0.544
T E 0.466
I E 0.711
T E 0.733
L E 0.468
Q C 0.342
K C 0.412
W C 0.538
G C 0.787
S C 0.799
W C 0.803
N C 0.916
P C 0.803
G C 0.748
H C 0.552
I H 0.351
H E 0.376
E E 0.484
I E 0.511
L E 0.525
S E 0.634
I E 0.648
R E 0.665
I E 0.495
Y C 0.905
END