# Explorative analysis of gene expression

Now that you know how to normalize gene expression counts to make samples comparable, you can proceed to different ways of exploring the gene expression patterns in different samples.&#x20;

Go through the subchapter 8.3.6 of the textbook below. In case you'd like to give a try to the R practical, you'll have to follow the previous particles to have the dataset ready.

{% embed url="<https://compgenomr.github.io/book/gene-expression-analysis-using-high-throughput-sequencing-technologies.html#exploratory-analysis-of-the-read-count-table>" %}


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://edu.abi.am/ngs-data-analysis-and-functional-genomics/rna-sequencing-and-gene-expression/explorative-analysis-of-gene-expression.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
