<｜begin▁of▁sentence｜>### Instruction:
A researcher is studying the structural brain connectivity in different mouse genotypes using diffusion magnetic resonance imaging. They need a dataset containing connectomes from multiple strains of mice, where each connectome is represented as an adjacency matrix showing the connections between various regions of interest (ROIs) in the mouse brain. Each mouse should be identified with a label, and additional data such as ROI information, block assignments, anatomical features, and genotype information should be provided. How can the researcher load such a dataset for analysis, and how can they access the number of subjects and vertices included in the dataset?
### Response:
import graspologic

# Load the mice connectome dataset
mice_data = graspologic.datasets.load_mice()

# Retrieve adjacency matrices of the connectomes
connectomes = mice_data.graphs

# Access labels for each mouse (subject)
labels = mice_data.labels

# Obtain ROI information from the atlas
roi_atlas = mice_data.atlas

# Get block assignments for ROIs
block_assignments = mice_data.blocks

# Obtain anatomical features for ROIs
anatomical_features = mice_data.features

# Get subject IDs and genotypes
genotype_info = mice_data.participants

# Access dataset meta information
meta_info = mice_data.meta

# Example: print the number of subjects and vertices
print(f"Number of subjects: {meta_info['n_subjects']}, Number of vertices: {meta_info['n_vertices']}")
<|EOT|>
