Back to search

Article

AImmune: a new blood-based machine learning approach to improving immune profiling analysis on COVID-19 patients

2021-12-01

Abstract excerpt

A massive number of transcriptomic profiles of blood samples from COVID-19 patients has been produced since pandemic COVID-19 begins, however, these big data from primary studies have not been well integrated by machine learning approaches. Taking advantage of modern machine learning arthrograms, we integrated and collected single cell RNA-seq (scRNA-seq) data from three independent studies, identified genes poten...

Topics

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

Identifiers and source

Literature Corpus work
6b4cfd7b-42f0-5f93-ae41-619b12298eaa
DOI
10.1101/2021.11.26.21266883
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.
AImmune: a new blood-based machine learning approach to improving immune profiling analysis on COVID-19 patientsDOI 10.1101/2021.11.26.21266883
Select a neighboring publication to make it the new centre.