DeepSCP: utilizing deep learning to boost single-cell proteome coverage.

Wang, Bing; Wang, Yue; Chen, Yu; Gao, Mengmeng; Ren, Jie; Guo, Yueshuai; Situ, Chenghao; Qi, Yaling; Zhu, Hui; Li, Yan; Guo, Xuejiang

Wang, Bing; Wang, Yue; Chen, Yu; Gao, Mengmeng; Ren, Jie; Guo, Yueshuai; Situ, Chenghao; Qi, Yaling; Zhu, Hui; Li, Yan; Guo, Xuejiang.

Afiliação

Wang B; School of Medicine, Southeast University, Nanjing 210009, China.
Wang Y; Department of Histology and Embryology, State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, China.
Chen Y; Department of Histology and Embryology, State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, China.
Gao M; Department of Histology and Embryology, State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, China.
Ren J; Department of Histology and Embryology, State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, China.
Guo Y; Department of Histology and Embryology, State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, China.
Situ C; Department of Histology and Embryology, State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, China.
Qi Y; Department of Histology and Embryology, State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, China.
Zhu H; Department of Histology and Embryology, State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, China.
Li Y; Department of Histology and Embryology, State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, China.
Guo X; Department of Clinical Laboratory, Sir Run Run Hospital, Nanjing Medical University, Nanjing 211100, China.

Brief Bioinform ; 23(4)2022 07 18.

Article em En | MEDLINE | ID: mdl-35656712

Assuntos

Aprendizado Profundo; Proteoma; Peptídeos/química; Proteoma/metabolismo; Proteômica/métodos; Espectrometria de Massas em Tandem/métodos

Palavras-chave

LightGBM; deep learning; fragment ion intensity; peptide-spectrum matches; retention time; single-cell proteomics

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteoma / Aprendizado Profundo Tipo de estudo: Prognostic_studies Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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