ANPELA: Significantly Enhanced Quantification Tool for Cytometry-Based Single-Cell Proteomics.

Zhang, Ying; Sun, Huaicheng; Lian, Xichen; Tang, Jing; Zhu, Feng

Zhang, Ying; Sun, Huaicheng; Lian, Xichen; Tang, Jing; Zhu, Feng.

Afiliação

Zhang Y; College of Pharmaceutical Sciences, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310058, China.
Sun H; College of Pharmaceutical Sciences, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310058, China.
Lian X; College of Pharmaceutical Sciences, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310058, China.
Tang J; Department of Bioinformatics, Chongqing Medical University, Chongqing, 400016, China.
Zhu F; College of Pharmaceutical Sciences, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310058, China.

Adv Sci (Weinh) ; 10(15): e2207061, 2023 05.

Article em En | MEDLINE | ID: mdl-36950745

Assuntos

Proteômica; Proteômica/métodos; Fluxo de Trabalho

Palavras-chave

cell population identification; comprehensive assessment; parallel computing; protein quantification; single-cell proteomics; trajectory inference

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteômica Idioma: En Revista: Adv Sci (Weinh) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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