Back to search

Article

Integrating Single-Cell Sequencing and Machine Learning to Uncover the Role of Mitophagy in Subtyping and Prognosis of Esophageal Cancer

2024-10-14

Abstract excerpt

<title>Abstract</title> <p>Globally, esophageal cancer stands as a prominent contributor to cancer-related fatalities, distinguished by its grim prognosis. Mitophagy has a significant impact on the process of cancer progression. This study investigates the prognostic significance of mitophagy-related genes (MRGs) in esophageal carcinoma (ESCA) with the aim of elucidating molecular subtypes. By analyzing RNA-seq d...

Topics

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

Identifiers and source

Literature Corpus work
b861499a-896e-5545-b74f-80ac2f7aa7f4
DOI
10.21203/rs.3.rs-4917245/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.
Integrating Single-Cell Sequencing and Machine Learning to Uncover the Role of Mitophagy in Subtyping and Prognosis of Esophageal CancerDOI 10.21203/rs.3.rs-4917245/v1
Select a neighboring publication to make it the new centre.