Tutorial 5:Mouse_Brain_Merge_Anterior_Posterior(Section1,2)
Environment Configuration & Package Loading
[1]:
import os
import torch
import scanpy as sc
[2]:
from GenOT import genot
[3]:
# Run device, by default, the package is implemented on 'cpu'. We recommend using GPU.
device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
# the location of R, which is necessary for mclust algorithm. Please replace the path below with local R installation path
os.environ['R_HOME'] = 'C:/Program Files/R/R-4.4.1'
os.environ['PATH'] = 'C:/Program Files/R/R-4.4.1/bin/x64;' + os.environ['PATH']
Data Loading
[4]:
# read data
adata1 = sc.read_h5ad(r"..\Data\Mouse_Brain_Merge_Anterior_Posterior_Section_1.h5ad")
adata2 = sc.read_h5ad(r"..\Data\Mouse_Brain_Merge_Anterior_Posterior_Section_2.h5ad")
[5]:
from GenOT.utils import find_hvg_somde
hvg_gene_names1 = find_hvg_somde(
adata1,
save_output=False, #save txt
)
hvg_gene_names2 = find_hvg_somde(
adata2,
save_output=False, #save txt
)
adata1 = adata1[:, hvg_gene_names1].copy()
adata2 = adata2[:, hvg_gene_names2].copy()
using 17*17 SOM nodes for 6050 points
norm mtx first
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Models: 100%|██████████| 10/10 [07:41<00:00, 46.13s/it][A
using 17*17 SOM nodes for 6114 points
norm mtx first
Models: 0%| | 0/10 [00:00<?, ?it/s]
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0%| | 131/32285 [00:00<00:24, 1301.84it/s]
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Models: 10%|█ | 1/10 [00:21<03:09, 21.03s/it]
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Models: 100%|██████████| 10/10 [07:36<00:00, 45.64s/it][A
Run GenOT
[6]:
# define model
encoder1 = genot.Encoder(adata1, epochs=1500, pca_n=200, device=device)
encoder2 = genot.Encoder(adata2, epochs=1500, pca_n=100, device=device)
# run model
adata1 = encoder1.train_encoder()
adata2 = encoder2.train_encoder()
Begin to train ...
100%|██████████| 1500/1500 [00:22<00:00, 67.18it/s]
finished!
Begin to train ...
100%|██████████| 1500/1500 [00:21<00:00, 68.58it/s]
finished!
Spatial Domain Identification (mclust)
[7]:
from GenOT.utils import clustering
tool = 'mclust'
n_clusters = 29
# clustering
clustering(adata1, n_clusters, method=tool)
clustering(adata2, n_clusters, method=tool)
WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: __ __
____ ___ _____/ /_ _______/ /_
/ __ `__ \/ ___/ / / / / ___/ __/
/ / / / / / /__/ / /_/ (__ ) /_
/_/ /_/ /_/\___/_/\__,_/____/\__/ version 6.1.1
Type 'citation("mclust")' for citing this R package in publications.
fitting ...
|======================================================================| 100%
fitting ...
|======================================================================| 100%
Visualization
[8]:
import matplotlib.pyplot as plt
plt.rcParams["figure.figsize"] = (12, 6)
sc.pl.spatial(
adata1, img_key=None, color='domain', title="Mouse_Brain_Merge_Anterior_Posterior_Section_1",
show=False, frameon=False, spot_size=120,
)
[8]:
[<AxesSubplot: title={'center': 'Mouse_Brain_Merge_Anterior_Posterior_Section_1'}, xlabel='spatial1', ylabel='spatial2'>]
_15_1.png)
[9]:
plt.rcParams["figure.figsize"] = (12, 6)
sc.pl.spatial(
adata2, img_key=None, color='domain', title="Mouse_Brain_Merge_Anterior_Posterior_Section_2",
show=False, frameon=False, spot_size=120,
)
[9]:
[<AxesSubplot: title={'center': 'Mouse_Brain_Merge_Anterior_Posterior_Section_2'}, xlabel='spatial1', ylabel='spatial2'>]
_16_1.png)
[9]: