{% extends 'base.html' %} {% load static %} {% block title %} EXPath Tool 2.0{% endblock %} {% block content %}
{% if dataset_summary %}
Summary
Total Genes {{ dataset_summary.total_genes }}
Total Samples {{ dataset_summary.total_samples }}
{% for cond in dataset_summary.conditions %} {% endfor %}
Condition Replicates
{{ cond.name }} {{ cond.reps }}
{% else %}
No dataset information available.
{% endif %}
PCA Overview: The expression data is log₂(x+1) transformed prior to Principal Component Analysis. This stabilizes variance and prevents genes with extremely high expression from dominating the principal components.
{{ pca_plot_div|safe }}
K-means Cluster Overview
{{ kmeans_overview_div|safe }}
Detailed View

Drag to select an area on the thumbnail to zoom in.

Genes are ranked by standard deviations across samples based on the log₂-transformed data. By showing the patterns of the genes with most variability, this gives us a big picture view of the general pattern of gene expression.
{{ sd_plot_div|safe }}
{% endblock %}