Benchmarking clustering, alignment, and integration methods for spatial transcriptomics

Our analyses lead to comprehensive recommendations that cover multiple aspects, helping users to select optimal tools for their specific needs and guide future method development.

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Publication Details

Journal
Genome biology
Published
2024-08-09
DOI
https://doi.org/10.1186/s13059-024-03361-0
Citations
78
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
18.24

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article

Benchmarking clustering, alignment, and integration methods for spatial transcriptomics

Xin Zhou, Yunfei Hu, Can Luo, Yikang Li et al.
78 citations
Genome biology
Single-cell and spatial transcriptomics
18.24
article

Benchmarking clustering, alignment, and integration methods for spatial transcriptomics

Xin Zhou, Yunfei Hu, Can Luo, Yikang Li, M. Subba Rao, Haoran Qin, Wenjun Shen, Manfei Xie, Jihoon Baek
article en
78 citations

Abstract

Our analyses lead to comprehensive recommendations that cover multiple aspects, helping users to select optimal tools for their specific needs and guide future method development.

Genome biologyVol. 25(1)
Vanderbilt University (US), Shantou University (CN), Shantou University Medical College (CN)
National Institute of General Medical Sciences
Partnerships for the goals
Openalex Percentile: Top 0%
Single-cell and spatial transcriptomics
18.24
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