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GCclassifier: An R package for the prediction of molecular subtypes of gastric cancer.

Computational and structural biotechnology journal 2024 Vol.23() p. 752-758

Li J, He L, Zhang X, Li X, Wang L, Zhu Z, Song K, Wang X

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Gastric cancer (GC) is one of the most commonly diagnosed malignancies, threatening millions of lives worldwide each year.

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BibTeX ↓ RIS ↓
APA Li J, He L, et al. (2024). GCclassifier: An R package for the prediction of molecular subtypes of gastric cancer.. Computational and structural biotechnology journal, 23, 752-758. https://doi.org/10.1016/j.csbj.2024.01.010
MLA Li J, et al.. "GCclassifier: An R package for the prediction of molecular subtypes of gastric cancer.." Computational and structural biotechnology journal, vol. 23, 2024, pp. 752-758.
PMID 38304548
DOI 10.1016/j.csbj.2024.01.010

Abstract

Gastric cancer (GC) is one of the most commonly diagnosed malignancies, threatening millions of lives worldwide each year. Importantly, GC is a heterogeneous disease, posing a significant challenge to the selection of patients for more optimized therapy. Over the last decades, extensive community effort has been spent on dissecting the heterogeneity of GC, leading to the identification of distinct molecular subtypes that are clinically relevant. However, so far, no tool is publicly available for GC subtype prediction, hindering the research into GC subtype-specific biological mechanisms, the design of novel targeted agents, and potential clinical applications. To address the unmet need, we developed an R package for predicting GC molecular subtypes based on gene expression profiles. To facilitate the use by non-bioinformaticians, we also provide an interactive, user-friendly web server implementing the major functionalities of . The predictive performance of was demonstrated using case studies on multiple independent datasets.

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