Identifying spatial domain by adapting transcriptomics with histology through contrastive learning.

Zeng, Yuansong; Yin, Rui; Luo, Mai; Chen, Jianing; Pan, Zixiang; Lu, Yutong; Yu, Weijiang; Yang, Yuedong

Zeng, Yuansong; Yin, Rui; Luo, Mai; Chen, Jianing; Pan, Zixiang; Lu, Yutong; Yu, Weijiang; Yang, Yuedong.

Afiliación

Zeng Y; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510000, China.
Yin R; Key Laboratory of Machine Intelligence and Advanced Computing (MOE), Guangzhou 510000, China.
Luo M; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510000, China.
Chen J; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510000, China.
Pan Z; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510000, China.
Lu Y; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510000, China.
Yu W; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510000, China.
Yang Y; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510000, China.

Brief Bioinform ; 24(2)2023 03 19.

Article en En | MEDLINE | ID: mdl-36781228

Asunto(s)

Aprendizaje; Transcriptoma; Perfilación de la Expresión Génica; Análisis por Conglomerados; Análisis de Datos

Palabras clave

contrastive learning; histopathological image; multi-modality; spatial clustering; spatial transcriptomics

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Transcriptoma / Aprendizaje Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: China

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