Unknown

Dataset Information

An 8-Gene Signature for Classifying Major Subtypes of Non-Small-Cell Lung Cancer.


ABSTRACT:

Motivation

The precise diagnosis of the major subtypes, lung adenocarcinoma and lung squamous cell carcinoma, of non-small-cell lung cancer is of practical importance as some treatments are subtype-specific. However, in some cases diagnosis via the commonly-used method, that is staining the specimen using immunohistochemical markers, may be challenging. Hence, having a computational method that complements the diagnosis is desirable. In this paper, we propose a gene signature for this purpose.

Results

We developed an expression-based method that systematically suggests a huge set of candidate gene signatures and finds the best candidate. By applying this method to a training set, the optimal gene signature was found by considering close to 765 billion candidate signatures. T

SUBMITTER: Hamaneh M 

PROVIDER: S-EPMC9201361 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature