Accuracy metrics of mapping tools based on synthetic datasets.

Accuracy metrics of mapping tools based on synthetic datasets.

<p>Accuracy metrics of mapping tools based on synthetic datasets.</p>

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Huamei Li (8815955) (author)
مؤلفون آخرون: Jingchao Liu (2051245) (author), Guige Wang (22634210) (author), Zhenyu Liu (179092) (author), Meng Cao (105914) (author), Lingyun Sun (255929) (author), Cheng Peng (118834) (author), Yiyao Liu (554854) (author), Liang Ma (37793) (author), Qing Xiong (136442) (author)
منشور في: 2025
الموضوعات:
Cell Biology
Molecular Biology
Neuroscience
Biotechnology
Developmental Biology
Cancer
Plant Biology
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
synthetic data demonstrated
reconstructing tissue architectures
minimizing assignment algorithm
method integrates information
improve signal fidelity
effectively delineating fine
10 &# 215
theoretic gene selection
incomplete gene capture
spatial transcriptomic spots
spatial hotspot detection
segments spatial spots
scale spatial patterns
lacks spatial context
handling unmatched datasets
balances transcriptional similarity
xlink "> single
maps single cells
results highlight cell2spatial
cell2spatial incorporates neural
gene complexity
spatial transcriptomics
spatial proximity
spatial organization
spatial coherence
transcriptional heterogeneity
developed cell2spatial
st datasets
visium hd
versatile framework
powerful tool
particular strength
mouse kidney
human thymus
guided clustering
fully matched
enhance scalability
developmental trajectories
computational framework
complex tissues
cellular function
cellular compositions
analytical scope
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