In [1]:
# Parameters
data_name = "Mesp2"
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"
In [2]:
from matlas.modisco_report import call_motifDB_to_be_displayed, display_comparative_cell_types
load data from labcluster
Using TensorFlow backend.
2019-07-26 00:57:44,457 [WARNING] git-lfs not installed
In [3]:
homer_matches, modisco_matches = call_motifDB_to_be_displayed(task_idxs, homer_root, modisco_root)
In [4]:
display_comparative_cell_types(data_name, homer_matches, modisco_matches)
TF-MoDISco is using the TensorFlow backend.

CISBP ID of Mesp2: M5627_1.02

Shared Cell types both TF-MoDISco and Homer finds Mesp2
Cell typeModiscoHomer
CD4+CD8+ CD69lo large (DP precursors)

Significance: 0.000826491

Significance: 0.024983

CD4+CD8+ CD69lo small (DP precursors)

Significance: 0.00016523099999999998

Significance: 0.0160189

Unique Cell types only TF-MoDISco finds Mesp2
Cell typeModiscoHomer
embryo_3rd rhombomere (E8.5, deltaC)

Significance: 0.0226393

absent
Unique Cell types only Homer finds Mesp2
Cell typeModiscoHomer
ISP (Immature single positive)absent

Significance: 0.0212493

DPabsent

Significance: 0.0277095