Back to search

Article

SCPattern: A statistical approach to identify and classify expression changes in single cell RNA-seq experiments with ordered conditions

2016-03-29

Abstract excerpt

<h4>Motivation</h4> With the development of single cell RNA-seq (scRNA-seq) technology, scRNA-seq experiments with ordered conditions (e.g. time-course) are becoming common. Methods developed for analyzing ordered bulk RNA-seq experiments are not applicable to scRNA-seq, since their distributional assumptions are often violated by additional heterogeneities prevalent in scRNA-seq. Here we present SC-Pattern - an...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
a0b9a09d-8cf0-5ddb-802e-ee5f8283ece0
DOI
10.1101/046110
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
SCPattern: A statistical approach to identify and classify expression changes in single cell RNA-seq experiments with ordered conditionsDOI 10.1101/046110
Select a neighboring publication to make it the new centre.