Leveraging data-driven self-consistency for high-fidelity gene expression recovery.

Islam, Md Tauhidul; Wang, Jen-Yeu; Ren, Hongyi; Li, Xiaomeng; Khuzani, Masoud Badiei; Sang, Shengtian; Yu, Lequan; Shen, Liyue; Zhao, Wei; Xing, Lei

Islam, Md Tauhidul; Wang, Jen-Yeu; Ren, Hongyi; Li, Xiaomeng; Khuzani, Masoud Badiei; Sang, Shengtian; Yu, Lequan; Shen, Liyue; Zhao, Wei; Xing, Lei.

Afiliación

Islam MT; Department of Radiation Oncology, Stanford University, Stanford, CA, 94305, USA.
Wang JY; Department of Radiation Oncology, Stanford University, Stanford, CA, 94305, USA.
Ren H; Department of Electrical Engineering, Stanford University, Stanford, CA, 94305, USA.
Li X; Department of Radiation Oncology, Stanford University, Stanford, CA, 94305, USA.
Khuzani MB; Department of Radiation Oncology, Stanford University, Stanford, CA, 94305, USA.
Sang S; Department of Radiation Oncology, Stanford University, Stanford, CA, 94305, USA.
Yu L; Department of Radiation Oncology, Stanford University, Stanford, CA, 94305, USA.
Shen L; Department of Electrical Engineering, Stanford University, Stanford, CA, 94305, USA.
Zhao W; Department of Radiation Oncology, Stanford University, Stanford, CA, 94305, USA.
Xing L; Department of Radiation Oncology, Stanford University, Stanford, CA, 94305, USA. lei@stanford.edu.

Nat Commun ; 13(1): 7142, 2022 11 21.

Article en En | MEDLINE | ID: mdl-36414658

Asunto(s)

Moduladores Selectivos de los Receptores de Estrógeno; Expresión Génica

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Moduladores Selectivos de los Receptores de Estrógeno Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

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