In [1]:
# Parameters
data_name = "Mnt"
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 11:20:24,873 [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)
Mnt: Motif: M01716_2.00



Forward PWM

Reverse PWM

Shared Cell types both TF-MoDISco and Homer finds Mnt: #2

Cell typeModiscoHomer
DP3b;A;CL

Pattern: metacluster_1/pattern_3

Significance: 0.016134700000000002

Pattern: motif7.motif

Significance: 0.0585529

smallDPprecrsor;CD4+CD8+CD69-;A;CL

Pattern: metacluster_1/pattern_4

Significance: 0.017308700000000003

Pattern: motif13.motif

Significance: 0.03621130000000001

Unique Cell types only TF-MoDISco finds Mnt: #7

Cell typeModiscoHomer
largeDPprecrsr;CD4+CD8+CD69-;A;CL

Pattern: metacluster_1/pattern_5

Significance: 0.012180400000000001

Absent
preB;A;CL

Pattern: metacluster_1/pattern_4

Significance: 0.059164499999999995

Absent
preB_BMD;A;GEO

Pattern: metacluster_1/pattern_5

Significance: 0.0318566

Absent
plasmaB;A;CL

Pattern: metacluster_1/pattern_5

Significance: 0.0360466

Absent
DP;A;CL

Pattern: metacluster_1/pattern_10

Significance: 0.013592600000000002

Absent
B;B220_CD43;A;GEO

Pattern: metacluster_1/pattern_9

Significance: 0.0355315

Absent
ISP;A;CL

Pattern: metacluster_1/pattern_4

Significance: 0.0371185

Absent
Unique Cell types only Homer finds Mnt: #1

Cell typeModiscoHomer
A20;B-lymphoma;D;EnAbsent

Pattern: motif13.motif

Significance: 0.010257299999999999