Back to search

Article

Bioinformatics Analysis of Pivotal Module and Biomarkers Related to the Prognosis of Breast Cancer Based on Single-cell Transcriptome Data

2021-04-20

Abstract excerpt

<h4>Background: </h4> The effect of breast cancer heterogeneity on prognosis of patients is still unclear, especially the role of immune cells in prognosis of breast cancer. Therefore, the discovery of new markers to assess the effect of breast cancer heterogeneity on patient prognosis is crucial to improve prognosis and survival of patients. <h4>Methods: </h4>: Single cell transcriptome sequencing data of breast...

Topics

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

Identifiers and source

Literature Corpus work
812c7a28-261c-5774-9c11-c0635935a95d
DOI
10.21203/rs.3.rs-424509/v1
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.
Bioinformatics Analysis of Pivotal Module and Biomarkers Related to the Prognosis of Breast Cancer Based on Single-cell Transcriptome DataDOI 10.21203/rs.3.rs-424509/v1
Select a neighboring publication to make it the new centre.