Integration of single-cell sequencing and bulk transcriptome data develops prognostic markers based on PCLAF+ stem-like tumor cells using artificial neural network in gastric cancer

We identified a cluster of stem-like cells and elucidated their clinical significance, highlighting the possibility of their use as immunotherapeutic targets.

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Publication Details

Journal
Heliyon
Published
2024-09-30
DOI
https://doi.org/10.1016/j.heliyon.2024.e38662
Citations
2
Primary Topic
Cancer Cells and Metastasis
Type
article
Field-Weighted Citation Impact
0.57
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article

Integration of single-cell sequencing and bulk transcriptome data develops prognostic markers based on PCLAF+ stem-like tumor cells using artificial neural network in gastric cancer

Xin Tian, Ke An, QuanC Kan, ShaoX Zhou et al.
2 citations
Heliyon
Cancer Cells and Metastasis
0.57
article

Integration of single-cell sequencing and bulk transcriptome data develops prognostic markers based on PCLAF+ stem-like tumor cells using artificial neural network in gastric cancer

Xin Tian, Ke An, QuanC Kan, ShaoX Zhou, XuR Zhang, Yong Shi
article en
2 citations

Abstract

We identified a cluster of stem-like cells and elucidated their clinical significance, highlighting the possibility of their use as immunotherapeutic targets.

HeliyonVol. 10(21)
Zhengzhou University (CN), First Affiliated Hospital of Zhengzhou University (CN)
Good health and well-being
Openalex Percentile: Top 27%
Cancer Cells and Metastasis
0.57
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Integration of single-cell sequencing and bulk transcriptome data develops prognostic markers based on PCLAF+ stem-like tumor cells using artificial neural network in gastric cancer — Xin Tian, Ke An, et al. · Heliyon (2024) | TGRS Research Map | TGRS