TransST: transfer learning embedded spatial factor modeling of spatial transcriptomics data.

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Title: TransST: transfer learning embedded spatial factor modeling of spatial transcriptomics data.
Authors: Liu SS; Department of Biostatistics, Columbia University, New York City, NY, 10032, USA., Wang S; Department of Biostatistics, Columbia University, New York City, NY, 10032, USA., Chen Y; Department of Biostatistics, Columbia University, New York City, NY, 10032, USA., Rustgi AK; Department of Medicine, Columbia University, New York City, NY, 10027, USA., Yuan M; Department of Statistics, Columbia University, New York City, NY, 10027, USA., Hu J; Department of Biostatistics, Columbia University, New York City, NY, 10032, USA. jh3992@cumc.columbia.edu.
Source: BMC bioinformatics [BMC Bioinformatics] 2025 Nov 06; Vol. 26 (1), pp. 274. Date of Electronic Publication: 2025 Nov 06.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105 (Electronic) Linking ISSN: 14712105 NLM ISO Abbreviation: BMC Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1471-2105
DOI:10.1186/s12859-025-06099-z