Back to search

Article

Machine learning approaches for classification of Plasmodium falciparum life cycle stages using single-cell transcriptomes

2022-06-23

Abstract excerpt

Malaria, spread by the female Anopheles mosquito, is a highly fatal disease widespread in many parts of the world, causing 0.4 million deaths globally. Vital gene expressions form the basis in the detection of malaria infection levels. Quantification of malaria parasite infected RBCs and classification of its life cycle stages are done at macroscopic level by experts, for making informed decisions. Off late multi...

Topics

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

Identifiers and source

Literature Corpus work
1874f5e7-61cb-57dd-a03b-540659df909e
DOI
10.1101/2022.06.22.497155
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.
Machine learning approaches for classification of Plasmodium falciparum life cycle stages using single-cell transcriptomesDOI 10.1101/2022.06.22.497155
Select a neighboring publication to make it the new centre.