Tissue characterization at an enhanced resolution across spatial omics platforms with deep generative model.

Li, Bohan; Bao, Feng; Hou, Yimin; Li, Fengji; Li, Hongjue; Deng, Yue; Dai, Qionghai

Li, Bohan; Bao, Feng; Hou, Yimin; Li, Fengji; Li, Hongjue; Deng, Yue; Dai, Qionghai.

Afiliación

Li B; School of Artificial Intelligence, Beihang University, Beijing, China.
Bao F; Beijing National Research Center for Information Science and Technology (BNRist), Beijing, China.
Hou Y; Institute for Brain and Cognitive Science, Tsinghua University (THUIBCS), Beijing, China.
Li F; Department of Automation, Tsinghua University, Beijing, China.
Li H; School of Artificial Intelligence, Beihang University, Beijing, China.
Deng Y; School of Artificial Intelligence, Beihang University, Beijing, China.
Dai Q; School of Artificial Intelligence, Beihang University, Beijing, China.

Nat Commun ; 15(1): 6541, 2024 Aug 02.

Article en En | MEDLINE | ID: mdl-39095360

Asunto(s)

Transcriptoma; Animales; Ratones; Perfilación de la Expresión Génica/métodos; Biología Computacional/métodos; Genómica/métodos; Humanos; Riñón/metabolismo; RNA-Seq/métodos

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Transcriptoma Límite: Animals / Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

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