# Filtering features

Low expression genes may be indistinguishable from noise and will decrease the sensitivity of differential expression analysis.

* Click the **Gene counts** node
* Click **Filtering** in the task menu
* Click **Filter features** (Figure 1)

<figure><img src="https://1384254481-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FJVEESmJAPppJ3ijFq5aR%2Fuploads%2Fgit-blob-6a865c36152d265015d0cf8d095034fdfcaa79ae%2Fbulk%20seq%20tut%20pipeline%20filter%20features.png?alt=media" alt=""><figcaption><p><em>Figure 1. Selecting Filter features</em></p></figcaption></figure>

* Click **Noise reduction filter**
* Set the filter to **maximum <= 1**
* Click **Finish** (Figure 2)

<figure><img src="https://1384254481-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FJVEESmJAPppJ3ijFq5aR%2Fuploads%2Fgit-blob-56404d3394cfec57e5d188c99e58fb8e81f82d4a%2Fbulk%20seq%20tut%20filter%20features%20less%20than%201%20max.png?alt=media" alt=""><figcaption><p><em>Figure 2. Filtering low expressed genes</em></p></figcaption></figure>

A new Filtered counts data node will be created to que additional tasks (Figure 3) like Normalization.

<figure><img src="https://1384254481-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FJVEESmJAPppJ3ijFq5aR%2Fuploads%2Fgit-blob-604cc52fbf9b9bcd89d22ea6b9ed610c5ba23589%2Fbulk%20seq%20tut%20filtered%20features%20node.png?alt=media" alt=""><figcaption><p><em>Figure 3. Filtered counts node</em></p></figcaption></figure>

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