Back to search

Article

Denoising large-scale biological data using network filters

2021-01-14

Abstract excerpt

<title>Abstract</title> <p><bold>Background</bold>: Large-scale biological data sets are often contaminated by noise, which can impede accurate inferences about underlying processes. Such measurement noise can arise from endogenous biological factors like cell cycle and life history variation, and from exogenous technical factors like sample preparation and instrument variation.<bold>Results</bold>: We describe a...

Topics

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

Identifiers and source

Literature Corpus work
cde8e186-2585-50ce-9715-c2590c6d7603
DOI
10.21203/rs.3.rs-66071/v2
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.
Denoising large-scale biological data using network filtersDOI 10.21203/rs.3.rs-66071/v2
Select a neighboring publication to make it the new centre.