In [1]:
# Parameters
data_name = "Hic1"
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 11:11:07,668 [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)
Hic1: Motif: M02934_2.00



Forward PWM

Reverse PWM

No Cell types that both TF-MoDISco and Homer finds Hic1

Unique Cell types only TF-MoDISco finds Hic1: #3

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

Pattern: metacluster_0/pattern_10

Significance: 0.0557434

Absent
STMCH;A;CL

Pattern: metacluster_1/pattern_16

Significance: 0.0548462

Absent
apTreg;8wk;D;En

Pattern: metacluster_1/pattern_8

Significance: 0.053837800000000005

Absent
Unique Cell types only Homer finds Hic1: #2

Cell typeModiscoHomer
aB_LPS+IL4_24h;A;CLAbsent

Pattern: motif21.motif

Significance: 0.044312199999999996

wES;posterior;1;E8.5;A;GEOAbsent

Pattern: motif7.motif

Significance: 0.047720599999999995