Benchmarking cell-type clustering methods for spatially resolved transcriptomics data.

Cheng, Andrew; Hu, Guanyu; Li, Wei Vivian

Cheng, Andrew; Hu, Guanyu; Li, Wei Vivian.

Affiliation

Cheng A; Department of Computer Science, Rutgers, The State University of New Jersey, 110 Frelinghuysen Road, Piscataway, 08854, NJ, USA.
Hu G; Department of Statistics, University of Missouri-Columbia, 146 Middlebush Hall, Columbia, 65211, MO, USA.
Li WV; Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Rutgers, The State University of New Jersey, 683 Hoes Lane West, Piscataway, 08854, NJ, USA.

Brief Bioinform ; 24(1)2023 01 19.

Article in En | MEDLINE | ID: mdl-36410733

Subject(s)

Benchmarking; Transcriptome; Gene Expression Profiling/methods; Software; Cluster Analysis

Key words

Clustering; Single-cell genomics; Spatial trasncriptomics

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Benchmarking / Transcriptome Language: En Journal: Brief Bioinform Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2023 Type: Article Affiliation country: United States

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