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digraph {
node [shape=box]
APP_701 [label="APP >= 0.398750
samples = 701
healthy = 346, trisomic = 355"]
node [shape=box]
pMTOR_319 [label="pMTOR >= 0.602850
samples = 319
healthy = 243, trisomic = 76"]
APP_701 -> pMTOR_319
node [shape=box]
S6_32 [label="S6 >= 0.376350
samples = 32
healthy = 2, trisomic = 30"]
pMTOR_319 -> S6_32
node [shape=box]
S6_32f [label=" samples = 2
healthy = 2, trisomic = 0
class = 0"]
S6_32 -> S6_32f
node [shape=box]
S6_32c [label=" samples = 29
healthy = 0, trisomic = 29
class = 1"]
S6_32 -> S6_32c
node [shape=box]
GluR3_286 [label="GluR3 >= 0.204400
samples = 286
healthy = 241, trisomic = 45"]
pMTOR_319 -> GluR3_286
node [shape=box]
GluR3_2862 [label=" samples = 100
healthy = 61, trisomic = 39
class = 0"]
GluR3_286 -> GluR3_2862
node [shape=box]
GluR3_286a [label=" samples = 185
healthy = 179, trisomic = 6
class = 0"]
GluR3_286 -> GluR3_286a
node [shape=box]
AMPKA_381 [label="AMPKA >= 0.384900
samples = 381
healthy = 103, trisomic = 278"]
APP_701 -> AMPKA_381
node [shape=box]
pNUMB_210 [label="pNUMB >= 0.365050
samples = 210
healthy = 19, trisomic = 191"]
AMPKA_381 -> pNUMB_210
node [shape=box]
pNUMB_210o [label=" samples = 142
healthy = 2, trisomic = 140
class = 1"]
pNUMB_210 -> pNUMB_210o
node [shape=box]
pNUMB_210g [label=" samples = 67
healthy = 17, trisomic = 50
class = 1"]
pNUMB_210 -> pNUMB_210g
node [shape=box]
APP_170 [label="APP >= 0.458700
samples = 170
healthy = 83, trisomic = 87"]
AMPKA_381 -> APP_170
node [shape=box]
APP_170l [label=" samples = 97
healthy = 73, trisomic = 24
class = 0"]
APP_170 -> APP_170l
node [shape=box]
APP_170f [label=" samples = 72
healthy = 9, trisomic = 63
class = 1"]
APP_170 -> APP_170f
}