ROICellTrack: a deep learning framework for integrating cellular imaging modalities in subcellular spatial transcriptomic profiling of tumor tissues

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Publication Details

Journal
Bioinformatics
Published
2025-04-08
DOI
https://doi.org/10.1093/bioinformatics/btaf152
Citations
1
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.81

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article

ROICellTrack: a deep learning framework for integrating cellular imaging modalities in subcellular spatial transcriptomic profiling of tumor tissues

Carlos Moran Segura, Xuefeng Wang, Aram Vosoughi, Tingyi Li et al.
1 citations
Bioinformatics
Single-cell and spatial transcriptomics
0.81
article

ROICellTrack: a deep learning framework for integrating cellular imaging modalities in subcellular spatial transcriptomic profiling of tumor tissues

Carlos Moran Segura, Xuefeng Wang, Aram Vosoughi, Tingyi Li, Roger Li, Xiaofei Song, George Daniel Grass, Xiaoqing Yu, Joshua Davis, Hongzhi Xu
article en
1 citations

Abstract

No abstract available for this paper.
BioinformaticsVol. 41(5)
Moffitt Cancer Center (US)
Moffitt Cancer Center
Good health and well-being
Openalex Percentile: Top 29%
Single-cell and spatial transcriptomics
0.81
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ROICellTrack: a deep learning framework for integrating cellular imaging modalities in subcellular spatial transcriptomic profiling of tumor tissues — Carlos Moran Segura, Xuefeng Wang, et al. · Bioinformatics (2025) | TGRS Research Map | TGRS