In [1]:
# Parameters
data_name = "Stat5a"
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 11:40:16,393 [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)
Stat5a: Motif: M09420_2.00



Forward PWM

Reverse PWM

No Cell types that both TF-MoDISco and Homer finds Stat5a

Unique Cell types only TF-MoDISco finds Stat5a: #2

Cell typeModiscoHomer
Mast;A;CL

Pattern: metacluster_0/pattern_20

Significance: 0.019725200000000002

Absent
BSPHL;A;CL

Pattern: metacluster_1/pattern_19

Significance: 0.00729587

Absent
Unique Cell types only Homer finds Stat5a: #1

Cell typeModiscoHomer
LNG;8wks;D;EnAbsent

Pattern: motif15.motif

Significance: 0.0438865