Back to search

Article

Prediction of therapy outcomes of CLL using gene expression intensity, clustering, and ANN classification of single cell transcriptomes

2021-08-09

Abstract excerpt

<h4>Background</h4> Single cell transcriptomics is a new technology that enables us to measure the expression levels of genes from an individual cell. The expression information reflects the activity of that individual cell which could be used to indicate the cell types. Chronic lymphocytic leukemia (CLL) is a malignancy of B cells, one of the peripheral blood mononuclear cells subtypes. We applied five analytica...

Topics

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

Identifiers and source

Literature Corpus work
a265f3b5-9780-5fad-b0c2-2a8e1e320d40
DOI
10.1101/2021.08.08.455551
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.
Prediction of therapy outcomes of CLL using gene expression intensity, clustering, and ANN classification of single cell transcriptomesDOI 10.1101/2021.08.08.455551
Select a neighboring publication to make it the new centre.