In [1]:
# Parameters
data_name = "Pgr"
task_idxs = "0-213,216-278"
homer_root = "/srv/scratch/msharmin/mouse_hem/with_tfd/full_mouse50/Naive_scans"
modisco_root = "/srv/scratch/msharmin/mouse_hem/with_tfd/full_mouse50/Naive_modisco2019"
overwrite = False
In [2]:
from matlas.reports import collect_motifDB_to_be_displayed, display_comparative_cell_types
load data from labcluster
Using TensorFlow backend.
2019-08-23 11:27:38,566 [WARNING] git-lfs not installed
In [3]:
homer_matches, modisco_matches = collect_motifDB_to_be_displayed(task_idxs, homer_root, modisco_root, 
                                                              overwrite=False)
TF-MoDISco is using the TensorFlow backend.
In [4]:
display_comparative_cell_types(data_name, homer_matches, modisco_matches)
Pgr: Motif: M09326_2.00



Forward PWM

Reverse PWM

Shared Cell types both TF-MoDISco and Homer finds Pgr: #1

Cell typeModiscoHomer
MTR_NRN_MN1;methyl3;D;En

Pattern: metacluster_0/pattern_10

Significance: 1.92987e-07

Pattern: motif8.motif

Significance: 0.00114994

Unique Cell types only TF-MoDISco finds Pgr: #5

Cell typeModiscoHomer
LNG;8wks;D;En

Pattern: metacluster_0/pattern_0

Significance: 0.051928699999999994

Absent
Adipose;D;En

Pattern: metacluster_0/pattern_18

Significance: 3.72832e-06

/

Pattern: metacluster_0/pattern_19

Significance: 0.016687900000000002

Absent
SKLTL_Muscle;8wks;D;En

Pattern: metacluster_1/pattern_18

Significance: 7.04524e-07

Absent
Muscle;A;CL

Pattern: metacluster_1/pattern_14

Significance: 8.88674e-09

Absent
wCH12;A;CL

Pattern: metacluster_1/pattern_21

Significance: 0.051664699999999994

Absent
Unique Cell types only Homer finds Pgr: #2

Cell typeModiscoHomer
MPP;A;CLAbsent

Pattern: motif2.motif

Significance: 0.038026199999999996

BSPHL;A;CLAbsent

Pattern: motif2.motif

Significance: 0.0420159