In [1]:
# Parameters
data_name = "Pax2"
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 11:27:07,097 [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)
Pax2: Motif: M02690_2.00



Forward PWM

Reverse PWM

No Cell types that both TF-MoDISco and Homer finds Pax2

Unique Cell types only TF-MoDISco finds Pax2: #1

Cell typeModiscoHomer
Melanotrope;A;GEO

Pattern: metacluster_0/pattern_11

Significance: 0.0107571

Absent
Unique Cell types only Homer finds Pax2: #4

Cell typeModiscoHomer
ES;F1216;A;GEOAbsent

Pattern: motif19.motif

Significance: 0.054432299999999996

wES;LVR;E11.5;D.;EnAbsent

Pattern: motif9.motif

Significance: 0.0407716

FBRBLST;8wks;D;EnAbsent

Pattern: motif11.motif

Significance: 0.051911599999999995

Hnd_BRN;P0;D;EnAbsent

Pattern: motif16.motif

Significance: 0.0599217