In [1]:
# Parameters
data_name = "E2f5"
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 11:02:15,811 [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)
E2f5: Motif: M09042_2.00



Forward PWM

Reverse PWM

No Cell types that both TF-MoDISco and Homer finds E2f5

No Cell types only TF-MoDISco finds E2f5

Unique Cell types only Homer finds E2f5: #3

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

Pattern: motif5.motif

Significance: 0.028487900000000003

wES;WHL_BRN;E14.5;D;GEOAbsent

Pattern: motif15.motif

Significance: 0.046489800000000005

CH12.LX;D;EnAbsent

Pattern: motif14.motif

Significance: 0.05633380000000001