In [1]:
# Parameters
data_name = "E2f2"
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 11:02:04,479 [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)
E2f2: Motif: M09039_2.00



Forward PWM

Reverse PWM

No Cell types that both TF-MoDISco and Homer finds E2f2
No Cell types only TF-MoDISco finds E2f2
Unique Cell types only Homer finds E2f2: #4

Cell typeModiscoHomer
npES;ZHBTC4;doxyc;treat;A;GEOAbsent

Pattern: motif5.motif

Significance: 0.028487900000000003

CRBL_GRNL_Precrsr;A;GEOAbsent

Pattern: motif8.motif

Significance: 0.055246300000000005

wES;Hnd_BRN;E14.5;D;EnAbsent

Pattern: motif9.motif

Significance: 0.0138017

wES;WHL_BRN;E14.5;D;GEOAbsent

Pattern: motif15.motif

Significance: 0.0124824