Genomic Expression Patterns

import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import numpy as np

np.random.seed(789)

n = 140
tissues = np.random.choice(['Brain', 'Liver', 'Heart'], n)
data = {
    'Gene A': np.where(tissues == 'Brain', np.random.normal(8, 2, n),
                      np.where(tissues == 'Liver', np.random.normal(4, 1.5, n), np.random.normal(6, 1.8, n))),
    'Gene B': np.where(tissues == 'Brain', np.random.normal(5, 1.5, n),
                      np.where(tissues == 'Liver', np.random.normal(9, 2, n), np.random.normal(3, 1, n))),
    'Gene C': np.random.normal(6, 2, n) + np.random.uniform(-1, 1, n),
    'Gene D': np.random.normal(7, 1.8, n),
    'Tissue': tissues
}
df = pd.DataFrame(data)

plt.style.use('dark_background')
sns.set_style("darkgrid", {'axes.facecolor': '#0a0a0f', 'figure.facecolor': '#0a0a0f', 'grid.color': '#333333'})

palette = {'Brain': '#5314E6', 'Liver': '#C82909', 'Heart': '#F5276C'}

g = sns.pairplot(
    df,
    hue='Tissue',
    palette=palette,
    height=2,
    kind='kde',
    diag_kind='kde',
    plot_kws={'alpha': 0.6, 'levels': 5, 'linewidths': 1.5},
    diag_kws={'alpha': 0.5, 'linewidth': 2.5, 'fill': True}
)

g.fig.set_facecolor('#0a0a0f')
for ax in g.axes.flat:
    if ax:
        ax.set_facecolor('#0a0a0f')
        for spine in ax.spines.values():
            spine.set_color('#333333')
        ax.tick_params(colors='#888888')
        ax.xaxis.label.set_color('white')
        ax.yaxis.label.set_color('white')

g.fig.suptitle('Tissue-Specific Gene Expression', fontsize=14, fontweight='bold', color='white', y=1.02)
plt.setp(g._legend.get_title(), color='white')
plt.setp(g._legend.get_texts(), color='white')

plt.tight_layout()
plt.show()