Back to search

Article

<i>imply</i> : improving cell-type deconvolution accuracy using personalized reference profiles

2023-09-29

Abstract excerpt

Real-world clinical samples are often admixtures of signal mosaics from multiple pure cell types. Using computational tools, bulk transcriptomics can be deconvoluted to solve for the abundance of constituent cell types. However, existing deconvolution methods are conditioned on the assumption that the whole study population is served by a single reference panel, which ignores person-to-person heterogeneity. Here w...

Topics

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

Identifiers and source

Literature Corpus work
8a9c59e5-5dc7-563c-a855-d6a6c1a65801
DOI
10.1101/2023.09.27.559579
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.
<i>imply</i> : improving cell-type deconvolution accuracy using personalized reference profilesDOI 10.1101/2023.09.27.559579
Select a neighboring publication to make it the new centre.