In [1]:
# Parameters
data_name = "Six6"
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 11:34:32,127 [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)
Six6: Motif: M00169_2.00



Forward PWM

Reverse PWM

No Cell types that both TF-MoDISco and Homer finds Six6

Unique Cell types only TF-MoDISco finds Six6: #1

Cell typeModiscoHomer
NPC;F129;A;GEO

Pattern: metacluster_1/pattern_22

Significance: 0.048775400000000003

Absent
Unique Cell types only Homer finds Six6: #2

Cell typeModiscoHomer
DC_pBMD;A;GEOAbsent

Pattern: motif6.motif

Significance: 0.0463473

Muller;P12;D;EnAbsent

Pattern: motif9.motif

Significance: 0.0503248