Benchmarking Computational Integration Methods for Spatial Transcriptomics Data

Yijun Li; Stefan Stanojevic; Bing He; Zheng Jing; Qianhui Huang; Jian Kang; Lana X. Garmire

doi:10.1101/2021.08.27.457741

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Benchmarking Computational Integration Methods for Spatial Transcriptomics Data

Yijun Li, Stefan Stanojevic, Bing He, Zheng Jing, Qianhui Huang, Jian Kang, Lana X. Garmire

doi: https://doi.org/10.1101/2021.08.27.457741

Yijun Li

1Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA

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Stefan Stanojevic

2Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA

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Bing He

2Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA

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Zheng Jing

3Department of Applied Statistics, University of Michigan, Ann Arbor, MI, USA

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Qianhui Huang

2Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA

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Jian Kang

1Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA

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Lana X. Garmire

1Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA

2Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA

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For correspondence: lgarmire@med.umich.edu

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Posted January 21, 2022.

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Benchmarking Computational Integration Methods for Spatial Transcriptomics Data

Yijun Li, Stefan Stanojevic, Bing He, Zheng Jing, Qianhui Huang, Jian Kang, Lana X. Garmire

bioRxiv 2021.08.27.457741; doi: https://doi.org/10.1101/2021.08.27.457741

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Benchmarking Computational Integration Methods for Spatial Transcriptomics Data

Yijun Li, Stefan Stanojevic, Bing He, Zheng Jing, Qianhui Huang, Jian Kang, Lana X. Garmire

bioRxiv 2021.08.27.457741; doi: https://doi.org/10.1101/2021.08.27.457741

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