# Parameters
data_name = "Zeb1"
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

from matlas.reports import collect_motifDB_to_be_displayed, display_comparative_cell_types

load data from labcluster

Using TensorFlow backend.
2019-08-23 11:49:33,718 [WARNING] git-lfs not installed

homer_matches, modisco_matches = collect_motifDB_to_be_displayed(task_idxs, homer_root, modisco_root, 
                                                              overwrite=False)

TF-MoDISco is using the TensorFlow backend.

display_comparative_cell_types(data_name, homer_matches, modisco_matches)

Zeb1: Motif: M05844_2.00

Forward PWM

Reverse PWM

No Cell types that both TF-MoDISco and Homer finds Zeb1

Unique Cell types only TF-MoDISco finds Zeb1: #4

Cell type	Modisco	Homer
wES;posterior;2;E9.5;A;GEO	Pattern: metacluster_0/pattern_25 Significance: 0.0354954	Absent
NPC;Ch13;A;GEO	Pattern: metacluster_1/pattern_17 Significance: 0.041673699999999994	Absent
plasmaB;A;CL	Pattern: metacluster_1/pattern_5 Significance: 0.051625800000000006	Absent
DP;A;CL	Pattern: metacluster_1/pattern_10 Significance: 0.056821	Absent

Unique Cell types only Homer finds Zeb1: #1

Cell type	Modisco	Homer
A20;B-lymphoma;D;En	Absent	Pattern: motif13.motif Significance: 0.059223300000000006