Back to search

Article

A single cell framework for multi-omic analysis of disease identifies malignant regulatory signatures in mixed phenotype acute leukemia

2019-07-09

Abstract excerpt

In order to identify the molecular determinants of human diseases, such as cancer, that arise from a diverse range of tissue, it is necessary to accurately distinguish normal and pathogenic cellular programs. 1–3 Here we present a novel approach for single-cell multi-omic deconvolution of healthy and pathological molecular signatures within phenotypically heterogeneous malignant cells. By first creating immunophe...

Topics

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

Identifiers and source

Literature Corpus work
6c325800-42eb-5ece-aef3-d692e19bc181
DOI
10.1101/696328
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.
A single cell framework for multi-omic analysis of disease identifies malignant regulatory signatures in mixed phenotype acute leukemiaDOI 10.1101/696328
Select a neighboring publication to make it the new centre.