Squarespace - Website Expired
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KANGAROO-GOBY

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Squarespace - Website Expired

No dataset can be identified from the provided text because the referenced source is an expired Squarespace website rather than a dataset description or repository page. The available content only indicates that the account has expired and provides no information about the dataset’s subject, contents, variables, scope, or intended application. As a result, there is insufficient evidence to determine what the dataset is, what it contains, or how it is meant to be used.

kangaroo-goby.squarespace.com
IP: 198.49.23.177
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相关论文

3

Construction of a 3D whole organism spatial atlas by joint modelling of multiple slices with deep neural networks

Gefei WangJia ZhaoYan YanYang WangAngela Ruohao Wu6
Nature Machine Intelligence
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2023/10/19
00 p.1-14
Spatial transcriptomics (ST) technologies are revolutionizing the way to explore the spatial architecture of tissues. Currently, ST data analysis is often restricted to a single two-dimensional (2D) tissue slice, limiting our capacity to understand biological processes that take place in 3D space. H...
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10.1038/S42256-023-00734-1
ISSN:2522-5839

A composite scaling network of EfficientNet for improving spatial domain identification performance

Yanan ZhaoChunshen LongWenjing ShangZhihao SiZhigang Liu7
Communications Biology
2024
2024/11/25
Vol.7 No.1 p.1-14
Spatial Transcriptomics leverages gene expression profiling while preserving spatial location and histological images. However, processing the vast and noisy image data in spatial transcriptomics (ST) for precise recognition of spatial domains remains a challenge. In this study, we propose a method ...
Computational modelsMachine learning
10.1038/S42003-024-07286-Z
ISSN:2399-3642

Accurate, scalable and cross-platform cell identification for high-resolution spatial transcriptomics

Dongqing SunLele ZhangTong HanQiu WuPeng Zhang6
Nature Genetics
2026
2026/5/20
00 p.1-12
Recent advances in spatial transcriptomics (ST) have brought unprecedented insights into cellular diversity and cell–cell interactions within their spatial context. High-resolution ST techniques, including barcoding-based and imaging-based platforms, have achieved remarkable subcellular resolution. ...
Cancer microenvironmentGenome informaticsSoftware
10.1038/S41588-026-02610-1
ISSN:1061-4036