In [1]:
# Parameters
data_name = "Gli1"
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 11:10:22,857 [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)
Gli1: Motif: M01023_2.00



Forward PWM

Reverse PWM

Shared Cell types both TF-MoDISco and Homer finds Gli1: #1

Cell typeModiscoHomer
wES;GRM;E16.5;A;GEO

Pattern: metacluster_0/pattern_24

Significance: 0.0409777

Pattern: motif21.motif

Significance: 0.056205399999999996

Unique Cell types only TF-MoDISco finds Gli1: #2

Cell typeModiscoHomer
Adipose;D;En

Pattern: metacluster_0/pattern_5

Significance: 0.0382454

Absent
wES;Telenchephalon;D;En

Pattern: metacluster_1/pattern_1

Significance: 0.052610199999999996

Absent
Unique Cell types only Homer finds Gli1: #1

Cell typeModiscoHomer
BRN;SNSR_MTR_CRTX;A;CLAbsent

Pattern: motif2.motif

Significance: 0.053468100000000005